Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Agentic AI (Mosaic AI)
• Python
• SQL

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Build and optimize data transformations using Python and SQL;
• Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
• Strong experience with Python;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Azure SQL pools;
• Understanding of performance tuning for data workloads;
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Synapse (Pipelines)
• Azure SQL pools
• Python
• SQL
• Performance tuning

What You'll Do

• Develop and maintain data pipelines in the Azure environment;
• Work with Azure SQL Pools for data storage and processing;
• Write and optimize SQL queries;
• Perform performance tuning for queries and data workflows;
• Collaborate with a team of engineers on Databricks-based solutions;
• Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
• Ensure reliability and consistency of data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Azure SQL Pools;
• Strong understanding of performance tuning for data workloads;
• Experience working in Azure cloud environment;
• Excellent communication skills;
• English level: B2 (Upper-Intermediate) or higher;

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Python;
• Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
• Familiarity with Databricks Asset Bundles;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
• SQL
• Python
• Azure

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Write, optimize, and maintain data transformations using Python and SQL;
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer
• Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
• Solid knowledge of SQL
• Strong experience with Python
• Experience working in Azure cloud environment
• Good understanding of data pipelines and data platform architecture
• Strong analytical and problem-solving skills
• Excellent communication skills
• English level: B2 (Upper-Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.

Project Description

Own the end‑to‑end data flow for Data Analytics Platform (DAP). You will ingest XML data from AGRIS Web Services into Azure Blob Storage, orchestrate event‑driven transformation pipelines via Azure Functions and Databricks Jobs, model data using dbt on Databricks (medallion architecture: bronze → silver → gold), and deliver analytics‑ready datasets to Azure SQL Database and Luzmo. You'll also maintain multi‑tenant data isolation, automate deployments, and keep the platform performant and cost‑efficient.

Technologies

• Microsoft Azure
• Azure Blob Storage / ADLS Gen2
• Databricks (Delta Lake, PySpark, SQL Warehouses)
• dbt (dbt-databricks + dbt-sqlserver)
• Azure Functions (Python)
• Azure Event Grid
• Azure SQL Database
• Azure Key Vault
• Luzmo

What You'll Do

• Maintain and support Azure Functions pipelines (Event Grid → Databricks Jobs);
• Build and optimize Databricks notebooks for XML parsing and Parquet landing in DBFS/ADLS;
• Manage Auto Loader and incremental data ingestion processes;
• Design and maintain dbt models across medallion layers (bronze COPY INTO, silver current‑changes, gold incremental merge, staging/CDC to Azure SQL);
• Write custom macros and ensure data quality with dbt tests;
• Optimize schemas, indexes, and CDC merge pipelines in Azure SQL Database;
• Manage analytical views, RBAC roles, and Luzmo integration for BI consumers;
• Maintain tenant‑scoped DBFS mounts and data isolation;
• Configure backup, storage tiering, and define RPO/RTO targets, monitor pipeline health;
• Automate deployments using CI/CD tools (e.g., GitHub Actions);
• Implement monitoring, alerting, and optimize infrastructure and compute costs in Azure and Databricks;

Job Requirements

• 5+ years designing and building data solutions on Microsoft Azure;
• 2+ years with Databricks (Delta Lake, PySpark, SQL Warehouses);
• Strong experience with dbt (data build tool): incremental models, custom macros, multi‑adapter setups (Databricks + SQL Server);
• Expert‑level SQL skills: Databricks SQL for Delta Lake transformations and T‑SQL for Azure SQL Database performance tuning;
• Hands‑on experience with Azure Functions (Python) and event‑driven architectures (Azure Event Grid, Blob Storage triggers);
• Familiarity with medallion architecture patterns (bronze/silver/gold) and CDC (Change Data Feed) pipelines;
• Working knowledge of XML data parsing/ingestion at scale (PySpark XML processing);
• Strong understanding of Azure security fundamentals (Key Vault, RBAC, managed identities);
• Experience with multi‑tenant data platform design and tenant‑scoped data isolation;
• English level: B1+ (Intermediate) or higher;

Nice to Have

• Microsoft Certified: Azure Data Engineer Associate (DP‑203) or Databricks Data Engineer Associate;
• Experience with IaC (Bicep or Terraform) and CI/CD (GitHub Actions);
• Familiarity with BI platforms, particularly Luzmo, for provisioning datasets and self‑service reporting;
• Knowledge of Python for Databricks notebooks, Azure Functions, and utility scripts;
• Experience with cost‑governance / FinOps in Azure and Databricks;
• Exposure to SQLFluff or similar SQL linting/quality tools;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.

Technologies

• Python
• Azure
• SQL
• Databricks
• Automation frameworks

What You'll Do

• Perform manual testing of application features and workflows;
• Develop and maintain automation tests using Python;
• Work with existing automation frameworks and improve test coverage;
• Validate data and perform database checks using SQL;
• Collaborate with development and QA teams to ensure product quality;
• Identify, document, and track defects;

Job Requirements

• 3+ year of experience in QA;
• Experience with Databricks ecosystem;
• Experience working in Azure cloud environment;
• Good understanding of data pipelines and data platform architecture;
• Experience with Python for test automation;
• Understanding of automation frameworks;
• Experience working with SQL;
• Strong knowledge of manual QA practices;
• Attention to detail and analytical mindset;
• Ability to work in a team environment;
• English level: Upper-Intermediate (B2) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

• Databricks (including Spark, Delta Lake, MLflow)
• Python/Scala
• SQL
• ETL concepts
• Distributed data processing
• Data warehousing
• Cloud Platforms & Storage

What You'll Do

• Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
• Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
• Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
• Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
• Develop and maintain documentation, data models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
• Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
• Strong proficiency in Python and/or Scala for data processing;
• Deep understanding of distributed data processing, data warehousing, and ETL concepts;
• Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
• Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Sep 25, 2025 12:50

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy dedicated to building digital and sustainable products and services that unlock value across the triple bottom line: people, planet, and profit. We do the right thing, and we do it right. We're proud to be a B Corp-certified company and a World Economic Forum New Champion.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, 650+ experts, 50+ nationalities)

• We are resilient and independent (0 debt, 100% privately owned)

• We are entrepreneurs and passionate experts who invest in what we believe in and work as a collective intelligence

• We are positive, courageous, caring, committed, and excellence-driven

About Gen-e2

While the market is still focused on AI-augmenting delivery, we’ve redefined the SDLC to be AI First. With our Gen-e2 framework:

• We now generate 95% of the product (code, documentation, infrastructure as code, and design) using GitHub Copilot.

• Output quality consistently exceeds that of our best traditional engineering teams.

• A centralized product repository gives AI full context of all product artifacts.

• Enterprise-grade standards and rules are embedded in prompts and code libraries.

• We deliver full products 2–3x faster, raising the bar for engineering excellence.

Your Role

As a Data Architect, you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision-making and digital transformation.

Key Responsibilities

Strategy & Architecture

• Define, evolve, and document the organization’s data architecture aligned with business and IT strategy.

• Design enterprise data models (conceptual, logical, and physical), establishing naming conventions and modeling standards.

• Assess and recommend data technologies (Data Lake, Lakehouse, Mesh, Warehouse) based on evolving business needs.

Governance, Privacy & Quality

• Define policies and standards for data governance, quality, privacy, cataloging, and lineage.

• Lead adoption of metadata management and data discovery tools across teams.

• Ensure compliance with internal and external data regulations and security requirements.

Data Integration & Design

• Architect data integration solutions (ETL/ELT, real-time and batch pipelines).

• Ensure interoperability across domains, sources, and consumers using principles such as Data Mesh.

• Define integration patterns and data federation frameworks to deliver a 360° data view.

Collaboration & Leadership

• Act as a technical reference in data architecture, guiding engineering, analytics, and business teams.

• Promote adoption of data models, standards, and best practices across the organization.

• Translate business needs into scalable data solutions and facilitate technical-business alignment.

Who You Are

Education

• Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related fields.

• Preferred certifications: Microsoft Certified, Azure Data Engineer Associate, or relevant cloud and data architecture certifications.

Required Experience

• 10+ years of experience in Data engineer

• 3+ years designing cloud-based data architectures (Azure, AWS, or GCP).

• 2+ years in data architecture, enterprise data modeling, or data governance.

• Led data model design (relational, multidimensional, non-relational) for Data Warehouse, Data Lake, or Lakehouse architectures.

• Participated in multi-source data integration projects (on-premise, cloud, external sources).

• In-depth knowledge of data governance frameworks including quality, cataloging, privacy, and compliance.

• Experience with modern architectures (Data Mesh, Lakehouse) and cataloging tools (Purview, Unity Catalog) is a plus.

Technical Expertise

• Data Modeling: Conceptual, logical, physical modeling; normalization; relational and non-relational design.

• Architectures: Data Warehouse, Data Lake, Lakehouse, Data Mesh.

• Governance: Data lineage, quality, privacy, RBAC, metadata management.

• Platforms: Azure Synapse, Azure Data Lake Gen2, Purview, Unity Catalog, Cosmos DB.

• Data Integration: Azure Data Factory, API Management, integration patterns, Azure Databricks.

• Infrastructure as Code (IaC): Terraform, Azure DevOps (preferred).

• Languages & Tools: SQL, Python (architectural level), JSON, Java, Scala.

• CI/CD: Git, Sonar, DevOps best practices.

Leadership & Soft Skills

• Systemic Thinking: Designs modular, scalable, and integrated architectures.

• Cross-functional Communication: Translates technical and business requirements clearly and effectively.

• Reuse Mindset: Focuses on creating shareable and scalable components.

• Technical Leadership: Influences technical direction and decision-making across teams.

• Complexity Management: Solves high-impact, large-scale technical challenges.

• Product & Platform Mindset: Designs with the data consumer experience in mind.

• Curiosity & Continuous Learning: Stays ahead of tech trends and promotes innovation.

More About PALO IT

We continuously adapt to change, learn from our experiences, and take action to meet the planet’s urgent needs. We are committed to:

• Becoming a climate net-zero company

• Delivering projects with positive impact

• Training 100% of our workforce on sustainability and impact

• Achieving B Corp certification across all our global offices

• Continuously measuring and improving employee happiness

We partner with some of the world’s most innovative organizations, from Fortune 1000 companies to high-impact SMEs and startups.

What We Offer

• Stimulating, collaborative work environments

• A personalized career path and growth opportunities

• International mobility and cultural exchange

• Internal R&D and innovation programs

• Learning & knowledge-sharing initiatives

• Training and certification support

• Entrepreneurship & intrapreneurship culture

🔍 Learn more about our team and perks:
👉 Visit our careers page
🎙️ Listen to the PALOCast – real stories from our Palowans

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Role Description

Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!

Responsibilities

• Define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Preferred Qualifications

• 7+ years of SQL experience 
• 7+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with Airflow or other similar orchestration frameworks
• Experience building data quality monitoring using MonteCarlo or similar tools

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Data Engineer Manager who will:

• Collaborate closely with a team of data engineers, developers, and UX designers to create and optimize data pipelines and workflows supporting media performance reporting.
• Manage the design, build, and maintenance phases of client reporting projects.
• Work with Business Intelligence/Data Operations to define and document comprehensive reporting and visualization requirements.
• Ensure high data quality and provide ongoing support and maintenance for existing data workspaces.
• Deploy new client teams to cloud data solutions, offering guidance and support throughout the onboarding process.
• Define clear QA guidelines and automate current QA processes to enhance efficiency.
• With the support of the Associate Director, develop innovative tools, processes, and best practices to achieve workflow efficiencies and drive value for both client teams and clients.
• Act as the subject matter expert for all questions and projects related to data quality, BI tools, and business rules, ensuring that best practices are consistently followed across all initiatives.
• Facilitate effective communication and ensure task progression through regular status meetings and working sessions; proactively identify and resolve project roadblocks and issues.
• Efficiently track and manage a high volume of tasks across multiple stakeholders and projects.
• Build positive and collaborative relationships with internal teams, effectively communicating roles, responsibilities, and expectations.

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

Education & Experience:

• Bachelor's or advanced degree in Statistics, Economics, Business, Mathematics, Computer Science, or a related scientific field is preferred.
• Minimum of 4-6 years of experience in data governance processes within a data warehousing, ETL, and business intelligence environment.
• Experience with the full development life cycle of an application or reporting solution – from design through testing and deployment.
• Experience in a media environment (digital investment, analytics, or ad operations) is preferred; an understanding of the media landscape is beneficial.
• Experience and understanding of processes across multiple media channels (digital, search, social, offline, etc.) and handling diverse datasets (paid media, owned, etc.).

Technical Skills:

• Advanced knowledge of databases and data warehouses is crucial, including SQL (most important), MySQL, PostgreSQL, Redshift, Snowflake, etc.
• Advanced knowledge of one or more programming languages is essential, with Python being highly valued.
• Strong knowledge of cloud platforms such as Microsoft Azure, GCP, or AWS (familiarity with any major cloud provider is key).
• Knowledge of data engineering platforms such as Databricks.
• Familiarity with project/product management tools like Jira, Confluence, Smartsheets, Azure DevOps/VSTS.
• Familiarity with business intelligence tools such as Tableau, PowerBI, etc.
• Experience with advertising campaign management/buying platforms (e.g., Sizmek, GCM, Flashtalking, Moat, DV, IAS, Mediaocean, Media Tools, Nielsen, ComScore, Facebook, Twitter, Pinterest, Snapchat, 4C, Brand Networks, YouTube, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, Adobe Analytics) is highly beneficial.

Soft Skills:

• Demonstrates strong attention to detail.
• Excellent verbal and written communication skills.
• Exceptional organizational skills, multi-tasking capabilities, and detail-oriented approach.
• Ability to foster collaborative relationships with other cross-functional teams.
• Ability to manage and prioritize competing projects and deliverables effectively.
• Proactive in elevating and resolving project roadblocks and issues.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

FEQ427R170

Mission

Reporting to a Senior Manager, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the of Databricks’ Field Engineering team in Latam. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical  segments)  to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success.
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

The salary range for this role is negotiable, the range being $6,000-$12,500 per month (Gross in USD), based on location and experience level.  

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 12+ years of experience, the compensation range is  $6,000 - $12,500 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

Sezzle is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to read, write, and analyze large volumes of it quickly and efficiently.

Sezzle is a heavy consumer of MySQL, Postgres, and Redshift, leveraging AWS tooling with Aurora RDS and DMS. We use DBT-based transformations and similar toolkits to populate a rapidly growing data lake that supports multiple data warehouses. It’s scaled well with us so far, and we’re looking to continue improving it, but we also want to step into new tooling and technologies.

What you’ll do: 

• End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
• Lead optimizations in database and query performance.
• ​​Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations.
• Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business.

• Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL.
• Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data infrastructure.
• Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.

What We look for: 

• 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems.
• Deep expertise with MySQL, Postgres, AWS Redshift or similar products, including performance tuning, table design, and workload management.
• Advanced proficiency in SQL.
• Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT, AWS DMS, or similar tools.
• Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns.
• Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.

Preferred Knowledge and Skills:

• Prior experience in high-growth, data-intensive fintech or similar regulated environments.
• Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake.
• Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day
• Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming).
• High enthusiasm for using AI to be as productive as possible.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

EPAM/NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo mas 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.

Estamos en búsqueda de un:Ingeniero de Datos Senior (Informatica CDI)

Principales responsabilidades:

• Desarrollar, probar y desplegar soluciones de datos cumpliendo tiempos, alcance, calidad y presupuesto.
• Diseñar y construir componentes complejos de soluciones de datos.
• Entregar desarrollos aplicando estándares de arquitectura y seguridad.
• Ejecutar procedimientos de pruebas y validación de soluciones implementadas.
• Corregir defectos e incidencias detectadas durante pruebas o producción.
• Garantizar calidad previa a la liberación productiva.
• Generar documentación técnica, cambios y tareas para despliegues.
• Validar con usuarios funcionales la solución desarrollada.
• Resolver incidentes durante periodo de garantía.
• Brindar acompañamiento técnico a perfiles junior dentro del equipo.

Requerimientos:

• 4 a 6 años de experiencia como Data Engineer.
• Cursos/certification en Informatica Cloud Data Integration-indispensable
• Experiencia en herramientas de integración de datos:
 Informatica PowerCenter (IPC)(obligatorio) /Talend / CDI/ Databricks (obligatorio)
• Experiencia en administración, gestión y perfilamiento de datos (IDQ).
• Experiencia en análisis y reportería (Power BI o similar).
• Bases de datos relacionales y no relacionales: Oracle/ SQL Server/MongoDB o similar
• Conocimiento en metodología Agile.
• Experiencia en servicios cloud, preferentemente Microsoft Azure: Azure SQL/ PostgreSQL/ Data Explorer /Databricks/ Data Factory
Deseables
• Azure Data Lake
• Progress Database
• Experiencia en arquitecturas EODS / EDWH / Medallion

Ofrecemos:

• Esquema 100% Nominal
• Prestaciones de Ley
• Paquete de Beneficios
• Plan de Desarrollo Profesional
• Colaboración Multicultural

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Perla Romero

TAG de reclutador (LI-PR1)

Important Information:

• Years of Experience: 7+ years

• Job Mode: Full-time

• Work Mode: Remote within Mexico

Job Summary:

We are seeking a highly experienced Software Development Engineer in Test (19742) with a strong background in data quality, analytics testing, and data engineering validation within the insurance industry. This role focuses on ensuring high-quality data across modern data platforms by defining, implementing, and maintaining robust testing strategies across the full data lifecycle—from raw ingestion to curated analytical layers. The ideal candidate demonstrates technical leadership, continuous improvement, and strong collaboration with engineering and business stakeholders.

Responsibilities and Duties:

• Develop and maintain end-to-end dbt testing frameworks, including mocked and expected datasets across bronze, silver, and gold layers.

• Define, implement, and maintain dbt models, unit tests, end-to-end tests, and custom test cases.

• Analyze engineering and analytics requirements to determine appropriate testing scope and strategies.

• Collaborate closely with business stakeholders, Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment.

• Gain a deep understanding of the repositories, tools, and workflows, including VSCode, pytest, dbt, Databricks, Git, Docker, and CI/CD processes.

• Investigate failed tests, perform root cause analysis, and support defect resolution.

• Review pull requests to ensure adherence to testing standards and data quality best practices.

• Actively participate in Agile ceremonies, providing quality insights and recommendations.

• Identify opportunities for process optimization, automation, and efficiency improvements while aligning quality efforts to business value.

• Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.

Qualifications and Skills:

• 7+ years of experience in Quality Engineering, with a strong focus on data-centric testing.

• Proven experience working within the insurance industry (required).

• Strong understanding of data warehousing concepts, ETL processes, and BI platforms.

• Solid knowledge of testing strategies, the Test Pyramid, and version control systems.

• Proficiency in SQL and scripting languages such as Python.

• Excellent communication, collaboration, and stakeholder management skills.

• Demonstrated ability to drive continuous improvement across technology, processes, and people.

• Strong leadership skills with experience guiding teams and influencing quality standards.

Role-specific Requirements:

• Hands-on experience designing and executing data validation strategies across complex data pipelines.

• Ability to translate business and analytical requirements into effective testing solutions.

• Experience supporting enterprise-scale data platforms with a strong emphasis on data accuracy, reliability, and compliance.

• Comfortable working in fast-paced, Agile environments.

Technologies:

• dbt

• Databricks

• Pytest

• SQL

• Python

• Git

• Docker

• VSCode

• BI tools (Power BI, Tableau – nice to have)

• Cloud environments (AWS, Azure, or GCP – nice to have)

Skillset Competencies:

• Data Quality & Validation

• End-to-End Data Testing

• Test Strategy & Automation

• Analytical Thinking

• Leadership & Mentorship

• Cross-functional Collaboration

• Continuous Improvement Mindset

• Business Value Awareness

About Encora:

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

What you'll do

We're looking for a Commercial Operations Lead to be the strategic backbone of our commercial organization. In this role, you will serve as the primary partner to all commercial teams—Sales, Partnerships and Customer Success—ensuring the right processes, tools, data, and insights are in place for them to perform at their best. You will lead a team of and act as a key connector between commercial leadership and cross-functional stakeholders, driving alignment, operational excellence, and continuous improvement across the revenue engine to fuel Clara's mission of building the future of corporate finance in Latin America. Your job is not only to set up the best tools and processes for the success of Clara’s growth, but also to define and refine the “ways of selling” based on best experiences from commercial leaders.

Your primary responsibilities will include:

• Lead and develop a team of revenue operation experts, serving as the strategic partner for all commercial teams and key stakeholders across the organization.
• Define and execute the commercial operations strategy aligned with Clara's growth goals in Mexico, Brazil, and Colombia.
• Coordinate with Product for any launches that affect onboarding and sales paths, to optimize results and minimize bugs
• Own revenue reporting, forecasting, and performance management— working with the Data Team to develop clear insights and actionable decisions for commercial leaders using Hubspot and Metabase.
• Drive continuous improvement of the commercial playbook, from prospecting to closing, upsell and crosssell, and Customer Success transition.
• Manage the commercial tech stack, primarily HubSpot, Fathom and Amplemarket, ensuring data integrity, process compliance, and adoption across all teams.
• Own the variable compensation framework for all commercial teams — including model design, policy definition, goal definition, result calculation, and governance — in close partnership with Finance and People.
• Explore and implement automation opportunities using tools like N8N, Extend, and Replit to streamline the sales cycle and complement the efforts of the Product and Engineering teams.
• Oversee Book of Business allocation for all sales agents and SDRs across Mexico, Brazil, and Colombia, and oversee Portfolio assignment for Customer Success teams.
• Collaborate cross-functionally with Finance, Operations, People, Product, and Customer Success to ensure alignment and a seamless customer experience.

Who you are

“We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.”

Must haves

• 5+ years of experience in Sales Operations, Revenue Operations, or a related commercial management role—ideally in a high-growth Fintech or SaaS environment
• Proven experience managing and developing teams.
• Deep knowledge of a CRM such as HubSpot or Salesforce, and of sales enablement and prospecting AI tools like Fathom and Amplemarket; experience with BI platforms such as Metabase.
• Experience or interest in AI tools to automate workflows and commercial processes.
• Strong analytical skills—comfortable working with large datasets, building reports, and deriving actionable insights. Deep knowledge of using Google Drive tools such as Sheets for this.
• Excellent verbal and written communication and stakeholder management skills. Proven ability in conflict resolution and managing difficult conversations.
• Adaptability to fast-changing environments and a proven track record of role-specific execution.

Nice to haves

• Independent analytical skills using SQL or Python (ok if this is done primarily through LLM support).
• Experience with N8N, Amplemarket, Databricks, or Google Script.
• A good sense of humor.

What you'll do

We're looking for a Head of Revenue Operations to serve as the strategic architect of Clara’s revenue engine. This is a high-impact leadership role designed for a systems thinker who can align our sales and go-to-market (GTM) motion. You will be responsible for building the operational foundation that allows Sales, Marketing, and Customer Success to scale efficiently, ensuring that every dollar of investment translates into sustainable growth.

Your primary responsibilities will include:

• Strategic GTM Leadership: Act as a strategic partner to commercial leaders to design and execute the GTM roadmap. You will translate long-term business goals into actionable operational workstreams, ensuring alignment across the entire customer lifecycle.
• Advanced Data & BI Architecture: Ownership of the end-to-end revenue data strategy. You will develop sophisticated modeling for TPV (Total Payment Volume), ARR, and Net Revenue Retention (NRR) to provide leadership with actionable insights and defensible forecasts.
• Full-Funnel Process Optimization: Architect and continuously refine the "Clara Operating System." This involves mapping the buyer’s journey to identify bottlenecks, automating manual handoffs between teams, and standardizing global processes for multi-market scalability.
• Revenue Tech Stack Management: Lead the strategy for our commercial technology. You will oversee the administration and integration of Hubspot, ensuring it talks seamlessly to our data warehouse and communication tools like Slack and Google Drive, while evaluating new tools (build vs. buy) through a strict ROI lens.
• Strategic Planning & Incentives: Lead complex territory mapping and quota-setting exercises. You will design and manage performance-based compensation frameworks that incentivize the right behaviors—focusing on high-quality acquisition and long-term account expansion.
• Commercial Enablement & Performance: Build the infrastructure for high performance. This includes creating data-driven playbooks, optimizing the tech-enabled onboarding process for new reps, and developing "early warning systems" to manage churn and expansion opportunities.
• AI & Automation Fluency: Build and scale automated workflows (lead scoring, forecasting, churn alerts) using AI as a core lever for operational efficiency.

Who you are

“We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.”

Must haves

• 8+ years of experience in Revenue Operations, Sales Operations, or related commercial operations roles.
• 3+ years in a senior leadership or director-level role with holistic ownership across Marketing, Sales, and Success.
• Deep expertise in CRMs like Hubspot or Attio, including complex workflow automation and data architecture.
• Proven experience building and scaling GTM processes in high-growth B2B SaaS or Fintech environments.
• Strong financial acumen; ability to bridge the gap between commercial activities and P&L impact.
• Excellent communication skills, with a track record of influencing decisions through data-driven storytelling.
• Adaptability to fast-changing environments and a high ownership mentality.
• Hands-on fluency with AI tools applied to revenue functions: process automation, predictive analytics, and insight generation from CRM and BI platforms.
• Experience with BI tools like Metabase, Databricks, and similar; AI and workflow automation tools like N8N;Claude for advanced data workflows and automation.
• Independent analytical skills using SQL or Python.

Nice to haves

• Experience managing operations across multiple countries, particularly in Latin America markets (e.g. Brazil, Mexico, Colombia).
• A good sense of humor.

What you'll do

Staff/Senior Engineer

We're looking for a Staff/Senior Engineer to lead the evolution of Clara’s backend systems and help scale our platform across Latin America. You will combine hands-on development with technical leadership to shape the engineering culture and systems behind Clara’s financial products.

In this role, you will:

• Guide architecture and design decisions for scalable, secure, and reliable backend services
• Write high-quality, maintainable code and set best practices for the engineering team
• Mentor and support the professional growth of mid- and senior-level engineers
• Collaborate closely with Product, Design, and Data to define and deliver end-to-end solutions
• Lead technical planning, code reviews, and project prioritization with a focus on long-term impact
• Champion engineering excellence and foster a culture of ownership, continuous improvement, and knowledge sharing
• Identify and reduce tech debt to improve system performance and team productivity
• Drive adoption of tools and practices that support speed and quality (e.g., CI/CD, Github, observability)
• Stay close to the product to deeply understand customer needs and ensure backend systems meet business goals

Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. 

Must haves:

• 7+ years of backend software development experience, including 1–2 years in a tech lead or staff-level role
• Strong software architecture and system design expertise
• Proven ability to lead through influence, not hierarchy
• Strong proficiency in one or more backend languages (preferably Java) with deep understanding of modern frameworks and development patterns.
• Experience mentoring engineers and elevating team performance
• Solid understanding of distributed systems and data modeling
• Strong AI early adoption at all levels of development, including the ability to design, code, review, and deploy full-stack applications into Clara's workflows, transforming ambiguous ideas into functional tools, accelerating the software construction speed
• Working proficiency in English and Portuguese
• Experience or interest in AI tools to automate workflows
• Excellent communication skills and ability to collaborate cross-functionally

Nice to haves:

• Experience with AWS, Metabase, or Databricks
• Exposure to SQL or Python for backend or data use cases
• Experience in fintech, payments, or credit infrastructure
• Basic proficiency in Spanish or a desire to learn it
• A good sense of humor

Location: Remote - MX

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Data Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Data & Analytics (D&A) team, helping build and maintain the data infrastructure that powers all of our internal reporting and analytics for multiple business teams. As a team, we are actively implementing the latest AI features and cutting-edge technologies to drive business insights.

On a day-to-day basis, you will be responsible for architecting and delivering end-to-end data pipelines to support internal stakeholders. Specifically, you will:

• Design, build, and maintain scalable data pipelines and services for analytics and business intelligence.
• Develop data flows and applications for machine learning, analytics, and third-party data integrations.
• Collaborate with data scientists and analysts to deploy models and analytical solutions.
• Perform heads-down development, test your code, review peer code, and ship it to production.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to build and enhance the data infrastructure that provides critical insights to business leaders, directly impacting strategic decisions across the company. You will have an opportunity to make a difference.

WHAT WE’RE LOOKING FOR:

We are seeking a results-oriented and innovative Data Engineer who is passionate about building scalable data solutions that empower internal teams. You will play a pivotal role in developing the infrastructure that powers our internal reporting and analytics initiatives, and you should be excited about working with the latest in AI and data technology. We're looking for someone with a deep understanding of data architecture, a commitment to quality, and a collaborative spirit to support business stakeholders.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Data Engineer is the career path for you!

THE TEAM:

Our  Clari + Salesloft Data & Analytics team is comprised of seasoned and up-and-coming data professionals​​ who are all aligned on one vision and mission:

• Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes
• Mission: Bring science to the art of sales 

The Data & Analytics team consists of a group of curious, collaborative, and technically-driven individuals dedicated to empowering the business with data. The engineers and analysts on our team share a few common traits: they are passionate about turning data into actionable insights, thrive on solving complex problems, and are committed to leveraging cutting-edge technology to answer critical business questions.

THE SKILL SET:

Core Qualifications

• Strong SQL skills and experience with Snowflake core features, focusing on performance optimization and efficient data warehousing practices.
• Proven ability to build scalable, tested transformation layers using DBT.
• Experience managing data pipelines with Airflow and ingestion tools such as Fivetran or Estuary.
• Comfortable working with AI-assisted development tools such as Snowflake Cortex, Gemini Enterprise, or GitHub Copilot.
• Strong Git workflow experience in Agile environments (Jira).
• Bachelor’s degree in Computer Science or a related technical field.

Nice-to-Have

• Experience with BI/analytics tools and supporting reporting workflows.
• Experience working with Salesforce or other CRM data, particularly in SaaS environments.
• Familiarity with AWS or GCP, REST APIs (Postman), or Databricks.
• Exposure to Machine Learning, AI, or Data Science frameworks.

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Remote

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job Overview

The Business Intelligence Analyst is responsible for supporting the delivery of business intelligence and reporting initiatives within the organization. They will work closely with business teams to gather requirements, translate them into user stories, and develop robust data models to power insightful analytics. The Analyst will collaborate with the development team to ensure successful implementation and deployment, while maintaining excellent stakeholder communication throughout the process.

Key Responsibilities:

• Gather detailed requirements from business teams for new business intelligence and reporting initiatives
• Document requirements and translate them into user stories for the development team
• Design and develop data models to support the reporting and analytics needs of the business
• Work closely with data engineers and developers to ensure the successful delivery of BI solutions
• Test and validate BI deliverables to ensure they meet the defined requirements and provide the expected value
• Coordinate with business stakeholders to gather feedback, address issues, and manage ongoing support
• Demonstrate excellent attention to detail and strong problem-solving skills to identify and resolve data quality issues
• Maintain clear and concise communication with all project team members and stakeholders
• Continuously learn and stay up-to-date with the latest BI tools, technologies, and best practices

Required Qualifications:

• Bachelor's degree in a quantitative field such as Computer Science, Data Science, or Business Analytics
• 1-2 years of experience in a data-driven role, preferably within a business intelligence or reporting function
• Proficient in data modeling, ETL processes/tools, and BI reporting tools (e.g., QuickSight, Power BI, Tableau)
• Strong SQL skills and familiarity with data warehousing concepts
• Excellent written and verbal communication skills, with the ability to translate technical information for business audiences
• Attention to detail and a proven track record of delivering high-quality work
• Collaborative mindset and the ability to work effectively in a team environment

Preferred Skills:

• Experience with agile project management methodologies and tools (e.g., Jira, Scrum)
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP)
• Knowledge of data engineering tools and techniques  (e.g., dbt, Glue, Python)
• Understanding of data warehousing and experience in data warehouses (e.g., Snowflake, Athena, Databricks)
• Understanding of data visualization best practices and principles
• Passion for continuous learning and staying up-to-date with industry trends and technologies

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

The Role

The Data Practice Director is a senior leadership role within Caylent's Cloud Data Engineering (CDE) practice, reporting directly to the Data Practice Leader. This person is responsible for operationalizing the practice strategy, leading a team of data professionals, and owning delivery excellence across a portfolio of client engagements. They are the connective tissue between strategic direction and day-to-day execution, ensuring the practice delivers consistent, high-quality outcomes while scaling to meet growth targets.

Your Assignment

Practice Operations and Delivery

• Own end-to-end delivery oversight for a portfolio of data engineering and analytics engagements, ensuring on-time, on-budget, and high-quality outcomes.
• Drive operational rigor across the practice including utilization management, staffing coordination, margin tracking, and engagement health reviews.
• Develop and enforce delivery standards, reusable frameworks, and best practices that enable consistent, scalable execution across the team.
• Serve as an escalation point for active engagements, helping resolve technical blockers, scope issues, and client concerns in partnership with delivery leads.
• Partner with the Practice Leader to translate the strategic roadmap into executable quarterly priorities and team-level OKRs.

Team Leadership and Development

• Directly lead and develop a team of data engineers, architects, and analytics professionals across the practice.
• Set clear performance expectations, conduct regular reviews, and provide ongoing coaching to build a high-performing, engaged team.
• Partner with recruiting and workforce planning to identify talent gaps, support hiring decisions, and onboard new team members effectively.
• Foster a culture of ownership, continuous learning, and technical excellence across a globally distributed team.
• Identify and develop emerging leaders within the practice, creating growth pathways aligned to practice needs.

Client Engagement

• Build trusted advisor relationships with key client stakeholders, acting as a senior point of contact for delivery and strategic guidance.
• Partner with the sales and GTM teams to support business development activities including scoping, proposal development, and technical solutioning for new and existing accounts.
• Identify and pursue expansion opportunities within active client engagements, surfacing new use cases and service offerings that align with client needs.
• Represent Caylent with credibility and professionalism in client-facing conversations at the director and VP level.

Practice Growth and Enablement

• Collaborate with the Practice Leader on go-to-market positioning, service offering development, and internal capability building.
• Contribute to thought leadership content including whitepapers, webinars, and conference presentations that elevate the practice's external profile.
• Stay current on trends in the modern data ecosystem and work with the team to incorporate relevant innovations into our delivery approach.
• Support the development of practice IP including accelerators, reference architectures, and reusable solution components.

Your Qualifications

Experience

• 12+ years of experience in professional services or consulting, with a strong focus on data engineering, analytics, or data platform delivery.
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment.
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads.
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance.
• Hands-on background in data architecture or engineering, with the ability to engage credibly with technical teams and client stakeholders alike.

Leadership

• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies.
• Ability to operate effectively at multiple levels, from strategic planning conversations with the Practice Leader to hands-on engagement support with delivery teams.
• Comfortable navigating ambiguity and complexity in a fast-paced, high-growth consulting environment.
• Experience influencing senior client stakeholders (director, VP and C-level) in delivery and advisory contexts.

Technical Acumen

• Deep familiarity with the AWS data ecosystem including services such as Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena.
• Working knowledge of adjacent platforms including Databricks and Snowflake, and their integration with AWS-native architectures.
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management.
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Master's degree or MBA is a plus.

Certifications

• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus.

Preferred Qualifications

• Execution-Oriented: Skilled at translating strategy into structured plans and holding teams accountable to outcomes.
• Client-First Mindset: Genuinely invested in client success and capable of building durable, trust-based relationships.
• Collaborative Partner: Works effectively across sales, delivery, and practice leadership functions without siloed thinking.
• Clear Communicator: Able to convey complex technical and business concepts to diverse audiences with clarity and confidence.
• Growth Driver: Passionate about building teams, capabilities, and client relationships that compound over time.

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

SLSQ426R335

This role requires being based in Monterrey; applicants in other locations will not be considered. 

The interview process will involve both English and Spanish conversations; business-level fluency in English is required.

Resumen de posición:

Como ejecutivo de cuentas empresariales en Databricks, te apasiona vender a organizaciones de servicios financieros de alto crecimiento. Sabes cómo reducir los ciclos de decisión penetrando rápidamente en las cuentas y demostrando el valor para el cliente. Te encanta comprender un producto en profundidad y te apasiona comunicar su valor a los clientes. Administrarás cuentas designadas y serás responsable de expandir el consumo dentro del negocio existente. Además de la oportunidad de cerrar negocios interesantes, también ofrecemos aceleradores por encima del 100 % del cumplimiento de cuota. 

El impacto que tendrás:

• Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras.
• Comunicarás periódicamente la estrategia de la cuenta a la alta dirección de Databricks.
• Asignarás recursos de Databricks para aumentar el consumo de las cuentas existentes.
• Te reunirás con ejecutivos del cuerpo directivo para comprender cómo Databricks puede impactar en los resultados comerciales.
• Superarás consistentemente todos los objetivos de actividad, cartera de clientes e ingresos.
• Utilizarás un enfoque creativo y de rápida resolución de problemas para vender y crear valor para los clientes.
• Desarrollarás un plan para alcanzar el éxito internamente en Databricks y externamente en tu área.

Lo que buscamos:

• Hablante nativo de español; fluidez a nivel empresarial en inglés. Los conocimientos de portugués son favorables, aunque no obligatorios.
• Pasión por vender un producto altamente técnico en la nube.
• Más de 5 años de experiencia con tecnologías de código abierto y ventas basadas en el valor.
• Un vendedor creativo con un movimiento de identificación y gestión de clientes potenciales bien definido, y un historial comprobado de influir efectivamente en la toma de decisiones entre desarrollar o comprar.
• Experiencia en ventas en datos, IA, nube o SaaS.
• Experiencia comprobada superando constantemente las cuotas de ventas, idealmente orientada a impulsar el consumo incremental.
• Éxito en el cierre de nuevas cuentas mientras trabajas en cuentas existentes.

SLSQ426R335

This role requires being based in Mexico City; applicants in other locations will not be considered. 

The interview process will involve both English and Spanish conversations; business-level fluency in English is required.

Resumen de posición:

Como ejecutivo de cuentas empresariales en Databricks, te apasiona vender a organizaciones de servicios financieros de alto crecimiento. Sabes cómo reducir los ciclos de decisión penetrando rápidamente en las cuentas y demostrando el valor para el cliente. Te encanta comprender un producto en profundidad y te apasiona comunicar su valor a los clientes. Administrarás cuentas designadas y serás responsable de expandir el consumo dentro del negocio existente. Además de la oportunidad de cerrar negocios interesantes, también ofrecemos aceleradores por encima del 100 % del cumplimiento de cuota. 

El impacto que tendrás:

• Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras.
• Comunicarás periódicamente la estrategia de la cuenta a la alta dirección de Databricks.
• Asignarás recursos de Databricks para aumentar el consumo de las cuentas existentes.
• Te reunirás con ejecutivos del cuerpo directivo para comprender cómo Databricks puede impactar en los resultados comerciales.
• Superarás consistentemente todos los objetivos de actividad, cartera de clientes e ingresos.
• Utilizarás un enfoque creativo y de rápida resolución de problemas para vender y crear valor para los clientes.
• Desarrollarás un plan para alcanzar el éxito internamente en Databricks y externamente en tu área.

Lo que buscamos:

• Hablante nativo de español; fluidez a nivel empresarial en inglés. Los conocimientos de portugués son favorables, aunque no obligatorios.
• Pasión por vender un producto altamente técnico en la nube.
• Más de 5 años de experiencia con tecnologías de código abierto y ventas basadas en el valor.
• Un vendedor creativo con un movimiento de identificación y gestión de clientes potenciales bien definido, y un historial comprobado de influir efectivamente en la toma de decisiones entre desarrollar o comprar.
• Experiencia en ventas en datos, IA, nube o SaaS.
• Experiencia comprobada superando constantemente las cuotas de ventas, idealmente orientada a impulsar el consumo incremental.
• Éxito en el cierre de nuevas cuentas mientras trabajas en cuentas existentes.

P-1383

This role requires candidates to be based in or near Mexico City, Mexico;  Candidates from other locations will not be considered.

About the Role

We are looking for a Senior Revenue Operations Analyst to join our Revenue Operations team, responsible for driving, scaling, and optimizing revenue performance to support strategic decision-making.

This role plays a key part in connecting revenue motions across Marketing, Sales, Customer Success, and Finance, ensuring high efficiency of processes, tools, and people.

The position requires on-site presence in Mexico City (hybrid model), with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.

Responsibilities

1. Revenue Operations (Core)

• Own and optimize core revenue processes across the funnel (Marketing → Sales → Customer Success).
• Drive visibility and consistency across key metrics such as:
• Pipeline generation and conversion
• Revenue forecasting accuracy
• MRR, ARR, churn, retention, and expansion
• Partner with sales leadership to define, track, and evolve strategic KPIs and revenue targets.
• Identify performance gaps and propose actionable recommendations to improve efficiency and growth.
• Support quarterly and annual planning cycles (targets, capacity, quotas, and coverage).

2. Data & Analytics

• Working with the Data Team to structure and maintain reliable datasets and reporting layers to support business decisions.
• Translate business needs into data requirements and analytical frameworks.
• Ensure data consistency across systems (CRM, Finance, Marketing, Product).
• Build and delivery data insights with analytics engineers of Data team to sales leadership 

3. Systems & Tools

• Act as a key stakeholder in the evolution and governance of the RevOps tech stack, including:
• CRM (e.g., HubSpot or Salesforce)
• Marketing platforms
• Financial and billing systems (e.g., SAP)
• BI tools (Looker, Power BI, Tableau)
• Ensure proper usage, adoption, and data quality across systems.
• Identify and implement automation opportunities to improve scalability and efficiency.
• Collaborate with Data Engineering on tools such as Databricks and Google Cloud when needed.

4. Collaboration & Business Partnership

• Act as a strategic partner to Sales, Marketing, Customer Success, and Finance leaders.
• Translate business challenges into structured analyses and scalable solutions.
• Facilitate alignment across teams on definitions, processes, and performance metrics.
• Support executive communication with clear, structured, and data-driven insights.
• Operate effectively in a dynamic, high-growth, and ambiguous environment.

 Requirements

• Proven experience in Revenue Operations, Business Operations, or Analytics roles.
• Expertise in SQL and data analysis.
• Solid experience working with CRM systems (preferably Salesforce).
• Experience with BI tools (Looker, Power BI, Tableau, or similar).
• Familiarity with Google ecosystem (BigQuery, Google Sheets).
• Basic knowledge of Python and data workflows is a plus.
• Strong understanding of SaaS metrics and revenue models (MRR, ARR, LTV, CAC, churn).
• Experience with forecasting, pipeline management, and performance tracking.
• Ability to connect data with business context and drive actionable insights.
• Structured thinking and strong problem-solving skills.
• Strong communication skills with both technical and business stakeholders.
• Ability to operate in fast-changing and ambiguous environments.
• High attention to detail combined with a strategic view.
• Results-oriented with focus on business impact.

Nice to Have

• Experience in high-growth SaaS environments.
• Previous exposure to quota planning, compensation, or capacity models.
• Experience working in international teams.
• Familiarity with tools like Databricks or modern data stacks.
• Advanced English is a plus.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ 

As a Senior Security Engineer, you’re expected to:

• Create and implement security controls in cloud and non-cloud based environments
• Automation of security controls to avoid operational burden and monitoring
• Become the Business Unit trusted advisor for all things information security
• Understanding root causes of issues and problems, collaborating with others to work on solutions. 
• Creating strong relationships with diverse teams, by coordinating communication between different audiences, teams and stakeholders
• Communicating fluently with diverse global teams in English and Spanish.
• Establish and maintain a first-line security risk management and compliance-driven practice that ensures Nubank avoids taking unnecessary risks and is hit by security tragedies. 
• Ensure all security risks are adjudicated and tracked including 3rd party suppliers
• Ensure security is proactively addressed during business service/product/technical design, build and implementation
• Evangelise security awareness and best practices in the Business Unit.

What We Are Looking For:

• Demonstrable and firm understanding of security and engineering practices and how they relate to delivering business outcomes
• Capable of articulate and negotiate complex security risks and trade-offs
• A self-motivated problem solver who is able to communicate effectively across functional teams
• Organised and flexible thinker with Risk Management experience
• Experience working implementing and automating security controls
• Experience working with AWS and GCP
• Experience working with Okta and IAM tooling
• Experience working with visualization tools and platforms like Looker, Databricks, etc
• General knowledge in ISO, PCI, NIST security frameworks
• Experience working with regulatory requirements (SPEI, CUB, PCI, NIST, ISO)
• General knowledge in databases and applications
• General knowledge of programming languages and scripting languages 
• General knowledge of cloud infrastructure (private or public), microservices and distributed environments.
• Proficiency in English and Spanish.

We believe in good team chemistry, enthusiasm for building things, and our surprising capacity to learn new things when we stay humble and open-minded. Good computer science skills and concepts, as well as English language skills, are essential.

We are a very process-light organization that values human interactions. We love working in small, independent teams that feel like small startups and eschew coupling and centralizing where realistic. We understand that execution is the key to success and optimize processes to remove bottlenecks.

• Our Benefits
  
  
• Chance of earning equity at Nu
• Extended maternity and paternity leaves 
• Health and life insurance 
• Dental and Vision Insurance
• NuCare - Our mental health and wellness assistance program
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• Holiday Bonus ("Aguinaldo") of 30 days of pay per year
• 17 days of paid vacation with 25% vacation bonus
• Gym partnership
• Food card
• Work-from-home Allowance
• Parental Consultancy
• Relocation Assistance Package, if applicable

Location for this opportunity (City, Country)

• Mexico City, Mexico

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/