Job Description

We’re seeking a hands-on Senior Data Architect to design and modernize scalable, AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS, PySpark, and Python, and experience migrating legacy Java-based scripts to Spark frameworks while ensuring data quality, scalability, and performance.

Key Responsibilities

• Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
• Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
• Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
• Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
• Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
• Implement standards for data quality, governance, performance optimization, and security.
• Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.

Skills and Experience

• 15+ years of experience in data engineering or architecture, with strong hands-on development background.
• Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
• Strong understanding of AWS data ecosystem — including Glue, EMR, S3, Redshift, and Lambda.
• Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
• Solid foundation in data lake, data warehouse, and cloud-native architecture design.
• Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
• Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
• Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
• Experience with GIT, Jenkins, & AWS
• Expertise in performance optimization and cost management for cloud environments
• Ability to manage multiple projects and priorities in a fast-paced environment
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a proactive, customer-centric IT Support Tech, Tier 1 to join our Global Service Desk based in India. You will serve as the first point of contact for our North American domestic enterprise, providing high-quality phone and digital support to employees spanning from our West Coast corporate headquarters to our primary East Coast offices. The ideal candidate will be responsible for resolving foundational technical issues while maintaining exceptional verbal clarity and professionalism, ensuring business continuity across all U.S. based time zones through high-touch partnerships and technical expertise.

What you'll do

• Serve as the face of IT, delivering high-touch support across live phone queues and Jira Service Management to ensure a seamless experience for our global workforce
• Master the Metropolis identity stack to resolve complex JumpCloud MFA hurdles and credential synchronization issues
• Act as a remote diagnostic expert for the Windows ecosystem and Google Workspace, resolving connectivity and software roadblocks
• Provide dedicated technical oversight for VPN stability and network resource access to safeguard mission-critical operations
• Translate intricate technical workflows into clear, actionable guidance for non-technical users while maintaining a white-glove service standard
• Maintain high-integrity records of all support interactions within Jira to ensure accurate data for escalation and trend analysis
• Champion enterprise security by coaching users on MFA best practices and proactive credential management
• Recognize high-complexity technical barriers early and facilitate warm hand-offs to senior engineering teams to minimize user downtime
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

What we're looking for

• 1+ years of experience in a high-volume technical call center or phone-based IT Support
• Exceptional command of the English language with clear, professional diction and a customer-first communication style
• Demonstrated experience with Identity Providers such as JumpCloud, Active Directory, or Okta
• Experience utilizing remote desktop support tools
• Solution-oriented mindset with the ability to remain calm and professional under pressure
• Ability to work a rotating shift schedule that aligns with North American business hours
• Ability to operate a computer and document notes in real-time at 40+ WPM

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins.#LI-SR1 #LI-Onsite

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.

Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.

As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.

You’ll:

• Identify high-impact opportunities using AI/ML to solve customer and business problems
• Partner with stakeholders and influence decisions through data-driven insights
• Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
• Collaborate with engineering teams to develop scalable data and ML pipelines
• Take full ownership from idea to production, delivering measurable business outcomes

This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.

About You

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Curious mind to learn, explore and identify biggest customer opportunities
3. Build strong relationships across both technical and business/product teams, earn trust with leadership
4. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
5. Willingness to dive deep into the tech stack as well as hands-on coding
6. Experience in building end to end ML models, across the ML lifecycle
7. Strong communication and leadership presence
8. Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
9. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
10. Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

The Team

Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.

The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Why we're hiring:

We are looking for a Data Analyst to support in the continued development of WPP’s client operations analytics team, using business intelligence tools and visualisations to share with WPP HQ and the wider WPP network.

What you'll be doing:

Reporting into the Director of Data Operations, this role will work in several capacities including analysing data, creating technical solutions, assessing business issues, rolling out a software solution and building internal client relationships. In this role you will help to bring insights directly to the business, enabling senior stakeholders to make informed data driven decisions on a daily basis.

The role will be as follows:

• Support our ETL (Extract, Transform & Load) process for all current & future data feeds
• Work with all existing agencies data feeds to identify & resolve any validation concerns
• Create and/or manage WPP’s master data tables
• Assist with new agency/country implementation programmes
• Filter and “clean” data by reviewing validation reports and performance indicators to locate and correct code & data process problems
• Provide ad hoc analysis to key client stakeholders

Who you'll be working with:

You’ll be working closely with all of the Data & Insights team which currently consists of 13 people (8 based in UK, 2 based in Madrid & 3 based in India) who are nice group of individuals and are a close working team that all get on well, and who are looking forward to what this team could achieve in the future.

You will also be working closely with the Data Manager, EVP of Marketing & Growth Operations, other stakeholders from WPP Operating Companies.

We've adopted a hybrid working approach to give more flexibility on where and how we work. Normally we work together in our amazing office twice a week.

This role reports to the Director of Data Operations within the Enterprise Data Group team.

What you'll need:

• Strong analytical and problem-solving skills
• Proficiency in SQL and Python (pandas, PySpark) for data analysis
• Hands-on experience with Databricks or a comparable cloud platform (Snowflake, BigQuery)
• Familiarity with modern data formats (CSV, JSON, Parquet, Delta)
• Attention to detail and a willingness to learn new tools
• Fundamental understanding of REST APIs is desirable, but not mandatory
• Exposure to AI-assisted analytics workflows (e.g. Claude, Copilot, Genie) is a plus

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.
Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.
As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are looking for a Principal Software Engineer to lead our Customer Experience application development group through the next step function growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision and technical strategy that enables us to build top notch customer experiences. This individual will provide immense technical thought leadership and will shape a strong engineering-led culture. The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  

This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing technical vision and strategy
• Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions
• Through technology, enable step function improvements in developer experience and velocity
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent
• Empower collaborative environment where best product and technical ideas are nurtured and come to life
• Influence the industry by creating competitive advantages for our customers through their use of our global platform

What we're looking for

• 14+ years of experience building customer centric applications and products
• Experience initiating and driving technical strategy
• Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications
• Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language
• Strong experience with data-intensive architectures
• Deep understanding of tradeoffs involved in release engineering and other processes
• Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings

While not required, these are a plus:

• Advanced degree in a technical field such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience creating structure within an environment with high levels of ambiguity
• Experience with leading the development of industry altering infrastructure
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Senior Software Engineer, Billing

 Job Description: 

As a Sr. Backend Engineer, you will be a key player in our team, responsible for the design, development, and maintenance of our next-generation Billing service.  

 Responsibilities: 

• Design, construct, test, and maintain a highly scalable, event-driven billing service. 

• Build and operate ingestion pipelines that consume usage events from Pub/Sub and other upstream sources. 

• Implement metering, rating, aggregation, and reconciliation logic that guarantees correctness and idempotency at scale. 

• Ensure systems meet business requirements, regulatory needs, and industry best practices. 

• Collaborate with product managers, architects, engineering leaders, and test engineers to deliver new billing capabilities. 

• Drive improvements on billing reliability, accuracy, performance, and cost efficiency. 

• Troubleshoot and support the platform in production, including on-call rotations. 

 Qualifications: 

• 5+ years of software engineering experience. 

• 3+ years of Java backend development, with hands-on experience using Spring Boot. 

• Degree in Computer Science, IT, or similar field; a Master's is a plus. 

• Strong Computer Science fundamentals in design, data structures, algorithms, problem solving, and complexity analysis. 

• Experience designing and implementing RESTful APIs and event-driven services. 

• Strong understanding of event-driven architectures and asynchronous processing. 

• Experience with messaging systems (Pub/Sub, Kafka, or similar) and at-least-once / exactly-once processing semantics. 

• Hands-on experience with the GCP ecosystem (Pub/Sub, GCS, GKE, Cloud SQL, BigQuery, or similar). 

• Experience architecting, developing, and operating internet-scale, distributed, mission-critical services. 

• Prior experience in developing new features and debugging complex issues with minimal supervision. 

 Nice-to-have: 

• Previous experience building or operating billing, metering, rating, or invoicing systems. 

• Familiarity with file-based data formats such as CSV and Parquet. 

• Experience with stream processing frameworks (Apache Beam/Dataflow, Flink, Spark Streaming). 

• Previous experience in the Contact Center or Telco industry. 

Job Overview:

We are looking for a senior technical lead to design, scale, and govern enterprise-grade data platforms across Microsoft Fabric, Databricks, and Snowflake. The role focuses on defining data architecture standards, enabling AI/GenAI-ready platforms, leading engineering teams, and delivering secure, high-performance cloud data solutions that support analytics and business outcomes.

Key Responsibilities

• Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks and Snowflake including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Define end-to-end data architecture standards, patterns, and best practices across ingestion, storage, transformation, modeling, and consumption layers.
• Guide technical decisions on compute patterns, storage optimization, pipeline orchestration, and data modeling frameworks.
• Evaluate and integrate emerging technologies to modernize the platform and enable AI/GenAI workloads.
• Partner with AI/ML teams to productionize models and integrate them with enterprise data workflows.
• Ensure data governance, lineage tracking, and metadata standards to support trustworthy AI initiatives.
• Champion data governance, security, privacy, and compliance requirements within the platform.
• Implement observability frameworks for pipeline monitoring, performance tuning, and reliability engineering.
• Drive continuous improvement initiatives to enhance platform robustness and engineering productivity.
• Work closely with product owners, business stakeholders, architects, and analytics teams to translate requirements into scalable technical solutions.
• Serve as the primary technical point of contact for data platform projects and stakeholders.
• Communicate technical roadmaps, project risks, and delivery plans clearly and effectively.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Key Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent professional experience.
• 12+ years of experience in data engineering, data platform development, or cloud data architecture.
• 3+ years in a technical leadership or team management role.
• Mandatory deep hands-on expertise with Microsoft Fabric, Snowflake or Databricks:
  • Pipelines
  • Notebooks
  • Lakehouse
  • Data Warehouse
  • Semantic Models
• Strong proficiency in PySpark, distributed compute, and data transformation frameworks.
• Advanced SQL capabilities and experience building stored procedures for transactional and analytical workloads.
• Proven track record in designing and delivering large-scale data platforms in cloud environments (Azure preferred).
• Solid understanding of AI/ML data workflows, GenAI dataset preparation, and integration patterns.
• Demonstrated ability to lead engineering teams, drive architectural decisions, and oversee complex technology implementations.
• Strong communication, stakeholder management, and technical documentation skills.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Job Overview:

We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms using Microsoft Fabric, Databricks (and/or Snowflake). The role focuses on designing reliable data pipelines, lakehouse and warehouse models, and semantic layers that enable enterprise analytics, BI, and AI/Gen AI use cases.

You will work closely with analytics, BI, and data science teams to deliver high-quality, performant, and governed data solutions, while driving best practices in data engineering, optimization, and platform design.

Key Responsibilities

• Design, build, and maintain end-to-end data solutions on Microsoft Fabric, Databricks, including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Implement scalable data ingestion, transformation, and loading (ETL/ELT) using Fabric Pipelines and PySpark.
• Develop robust data models and schemas optimized for analytics, reporting, and AI-driven consumption.
• Create and maintain semantic models to support Power BI and enterprise BI solutions.
• Engineer high-performance data solutions that meet requirements for throughput, scalability, quality, and security.
• Author efficient PySpark and SQL code for large-scale data transformation, data quality management, and business rule processing.
• Build reusable framework components for metadata-driven pipelines and automation.
• Optimize Lakehouse and Data Warehouse performance, including partitioning, indexing, Delta optimization, and compute tuning.
• Develop and maintain stored procedures and advanced SQL logic for operational workloads.
• Design and prepare feature-ready datasets for AI and GenAI applications.
• Collaborate with data scientists and ML engineers to productionize AI pipelines.
• Implement data governance and metadata practices required for responsible AI.
• Leverage Fabric, Databricks capabilities to orchestrate and monitor AI-related data workflows.
• Apply data governance, privacy, and security standards across all engineered assets.
• Implement monitoring, alerting, and observability best practices for pipelines and compute workloads.
• Drive data quality initiatives, including validation frameworks, profiling, and anomaly detection.
• Partner with analytics, BI, data science, and product teams to understand requirements and translate them into technical solutions.
• Mentor junior engineers and contribute to engineering standards and patterns.
• Participate in architecture reviews, technical design sessions, and roadmap planning.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 7+ years of professional experience in data engineering or a related discipline.
• Mandatory hands-on expertise with Microsoft Fabric, Databricks or Snowflake including:
  • Pipelines
  • Notebooks
  • Lakehouse
  •  Data Warehouse
  • Semantic Models
• Advanced proficiency in PySpark for distributed data processing.
• Strong command of SQL for analytical and operational workloads.
• Experience developing and optimizing stored procedures and complex SQL transformations.
• Understanding of GenAI architectures, vectorization, embedding pipelines, and data preparation for LLM use cases.
• Strong knowledge of data modeling, ETL/ELT patterns, and modern data lakehouse principles.
• Experience designing and optimizing large-scale data pipelines in cloud environments (Azure preferred).
• Excellent problem-solving skills with the ability to analyze complex data workflows.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Senior Machine Learning Engineer, Foundation Models on the DriveWell Atlas team, you will help design and develop next-generation AI models that advance CMT’s capabilities in risk assessment, driver engagement, crash detection, and claims processing. This role offers the opportunity to work at the intersection of cutting-edge AI research and real-world telematics applications.

CMT is looking for a collaborative, customer-committed, and creative Senior Machine Learning Engineer, Foundation Models who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Contribute to the design, training, and deployment of novel AI models for telematics applications
• Develop algorithms that model physical phenomena associated with vehicle and human movement
• Explore and implement advanced self-supervised learning methods tailored to multi-modal telematics sensor data
• Fine-tune upstream pretrained models or leverage their embeddings to solve downstream telematics tasks such as crash detection, driver risk scoring, and claims processing
• Build models robust to noise, missing data, and diverse real-world operating conditions
• Collaborate with engineers and product teams to integrate AI models into production systems
• Develop scalable training and inference pipelines using frameworks such as Ray, PyTorch DDP, or Horovod
• Optimize models for efficient deployment across cloud and edge/mobile environments
• Stay current with AI/ML research, applying new techniques to real-world telematics challenges
• Document and present findings, contributing to CMT’s AI/ML knowledge base
• Support junior team members through code reviews, collaboration, and knowledge sharing
• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
• 4+ years of relevant experience in AI/ML (post-degree)
• Strong hands-on experience developing and training deep learning models, preferably transformers for time-series or multimodal data
• Familiarity with self-supervised learning and representation learning on noisy sensor data
• Proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)
• Strong experience with PyTorch (preferred) or TensorFlow for deep learning
• Practical experience with distributed training methods and efficient model training
• Experience with data processing pipelines and ML infrastructure (e.g., Spark, Airflow, Docker, AWS/GCP/Azure)
• Excellent problem-solving skills and ability to translate complex business problems into AI solutions
• Strong communication skills to effectively present technical concepts to diverse audiences
• Product-focused mindset with a track record of delivering impactful ML solutions

Nice to Haves:

• Master’s or PhD preferred
• Experience with model interpretability and explainability techniques (XAI)
• Familiarity with ethical AI principles, bias detection, and mitigation strategies
• Exposure to MLOps practices for managing the ML lifecycle
• Publications or open-source contributions in AI/ML

Compensation and Benefits:

• Fair and competitive salary based on skills and experience
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave and public holidays
• Employees are eligible for flexible allowances which includes Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement
• Flexible scheduling and work from home policy depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.