Senior Data Engineer – Data Architecture & Platform

CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into Data Architecture to join us on our data transformational journey. This unique role combines hands-on data engineering (70%) with architectural design and governance (30%), ideal for a technical expert ready to shape our enterprise data strategy while remaining deeply involved in implementation. You'll work directly with line of business leaders and technical users to architect and build our cloud data warehouse using data vault 2.0 modeling and dbt. This is a technical, hands-on role, not a pure architecture position, where you'll mentor junior engineers on a lean team while personally implementing the solutions you design.

This is an on-site position at our HQ in Charlotte, NC.

What You'll Do

This role balances architectural design with hands-on implementation. You'll spend approximately 70% of your time coding, building pipelines, and implementing solutions, while dedicating 30% to architectural design, standards definition, and technical guidance. On our lean team, everyone contributes technically, this isn't about drawing boxes, it's about designing it AND building it. You must be comfortable in the IDE daily, working alongside engineers and providing mentorship through code reviews, pair programming, and technical guidance.

Data Architecture & Design

Define and document reference architectures, design patterns, and standards for the enterprise data platform. Create technical design documentation, data flow diagrams, and architectural decision records (ADRs) while remaining actively involved in hands-on implementation. Establish data modeling standards, naming conventions, and best practices across the platform.

Architecture Governance

Establish and maintain data modeling standards, design patterns, and architectural guidelines. Review and approve technical designs to ensure alignment with architectural principles and enterprise standards. Collaborate with stakeholders to define data governance policies and ensure compliance with security requirements.

Technical Mentorship & Collaboration

Provide architectural guidance and hands-on mentorship to engineers through code reviews, pair programming, and technical design sessions. Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work collaboratively on our small team where everyone contributes to solving complex technical challenges.

Data Vault Implementation

Design and implement data vault 2.0 modeling patterns to build a scalable, audit-friendly enterprise data platform that supports business agility and data governance.

Modern Data Engineering

Build and maintain automated data pipelines using dbt (Cloud/Core), Python, and Snowflake to transform raw data into business-ready datasets with comprehensive data quality testing.

Cloud Data Platform Development

Architect and implement an enterprise data platform on Snowflake, including automated deployment pipelines, data quality frameworks, and monitoring solutions. While we are modernizing to a cloud data platform, on-premises work is still needed using SSIS and MSSQL Server during the migration phase.

Data Mart & Dimensional Modeling

Design and build data marts using dimensional modeling techniques (Kimball methodology) to support business intelligence and analytics requirements.

ETL/ELT Pipeline Development

Design and implement robust data transformation models using dbt, SQL, and Python to build scalable ingestion and processing pipelines.

Data Quality & Testing

Implement comprehensive data quality testing frameworks using dbt tests, custom Python validations, and automated monitoring to ensure data accuracy and reliability.

External Data Integration

Integrate and operationalize data from external systems such as CRM, ERP, and third-party platforms via secure cloud data sharing, CDC, and APIs.

DataOps Implementation

Enable reliable, scalable, and automated data workflows by implementing DataOps best practices for continuous integration, testing, deployment, and monitoring across the data pipeline lifecycle. Establish and maintain Snowflake security governance through role-based access control (RBAC), including the design and management of role hierarchies, privilege grants, and object-level permissions to enforce least-privilege principles across all data assets. Define and enforce data access policies for users, service accounts, and downstream consumers by leveraging Snowflake's virtual warehouses, resource monitors, row-level security, and dynamic data masking to ensure compliant and auditable data access at scale.

Cloud Migration Support

Play an integral role in planning, designing, and implementing data migration strategies from legacy on-premises SQL Server systems to our modern Snowflake cloud platform.

What We're Looking For

Required Experience

• 6+ years of data engineering experience with cloud data platforms
• 4+ years of experience with Snowflake (required)
• 4+ years of experience with dbt (Cloud and/or Core)
• 4+ years of Python development experience
• 4+ years of AWS experience (AWS Certified Developer preferred)
• 6+ years of experience building data warehouses and data marts
• Experience using Data Vault 2.0 modeling methodology
• Strong experience with dimensional modeling (Kimball methodology)
• Proven experience with automated deployment and CI/CD pipelines
• Experience implementing data quality testing frameworks
• Experience designing data architectures and creating technical documentation (data models, architecture diagrams, design patterns, ADRs)
• Proven ability to balance architectural thinking with hands-on implementation
• Experience mentoring and guiding junior/mid-level engineers through technical collaboration

Technical Skills

• MSSQL Server SQL and SSIS
• Advanced SQL and data modeling expertise with dimensional modeling and data vault modeling
• Strong dbt skills for data staging, cleaning, transformation, testing, and modeling
• Proficiency in Python programming for data engineering tasks
• Experience with agile/scrum teams for data engineering and analytics engineering
• AWS cloud services (S3, Lambda, IAM, CloudFormation, etc.)
• Experience with data orchestration tools (Airflow, Prefect, or similar)
• Understanding of modern data engineering practices and agile methodologies
• Knowledge of data governance, security, and compliance requirements

Preferred Qualifications

• AWS Certified Developer certification
• Snowflake certifications in data engineering and/or architecture
• Experience with data vault automation tools (automate-dv package)
• Knowledge of modern BI and analytics platforms

Soft Skills

• Excellent oral and written communication skills to effectively deliver messages to a wide range of audiences, from business to technical
• Innovative and positive team member mindset
• Strong teamwork and interpersonal skills, with the ability to deliver results working independently or in a collaborative environment
• Agile development experience preferred
• Solution-oriented approach with strong problem-solving abilities

Education

• Bachelor's degree in Information Systems, Computer Science, Data Science, or related field of study preferred
• Work experience equivalent will be considered

What Sets You Apart

• Deep understanding of the complete data engineering lifecycle
• Architectural design experience combined with strong implementation skills
• Experience with cloud data platform implementations and migrations
• Proven ability to work with cross-functional teams and stakeholders
• Passion for building modern, cloud-first data solutions
• Strong analytical and critical thinking skills
• Commitment to data quality and best practices

Why Join CPI Security

• Opportunity to architect and build a modern enterprise data platform during an active transformation
• Work with cutting-edge cloud technologies and data vault modeling
• Lead technical design while remaining hands-on with implementation
• Collaborative environment with experienced data professionals on a lean, high-impact team
• Competitive compensation and benefits package
• Professional development opportunities and certification support
• On-site position in Charlotte, NC with a dynamic, growing company

CPI Security is an equal opportunity employer committed to diversity and inclusion in the workplace.

THE ROLE

As a Sr. Finance Manager, you will be the strategic financial backbone of our Marketing organization, transforming complex data into a growth engine. You will partner directly with senior Marketing leaders to optimize global investments, ensuring every dollar fuels our mission to dominate the market. By bridging the gap between high-level strategy and operational rigor, you’ll drive the financial discipline and cross-functional collaboration that sustains our competitive edge.

WHAT YOU'LL DO

• Lead Strategic Planning: Architect the Annual Operating Plan (AOP) and monthly close cycles, delivering executive-ready narratives that guide global investment shifts and ensure financial predictability.
• Advise Executive Leadership: Act as a primary finance business partner to Marketing leaders, utilizing sophisticated scenario modeling to influence high-stakes trade-offs and maximize program ROI.
• Drive Financial Governance: Establish and govern robust processes for accruals and budget management, ensuring total alignment between marketing strategy, departmental spend, and corporate accountability.
• Modernize Insights: Identify and implement process improvements using data visualization tools to translate complex spend patterns into clear, actionable business intelligence for cross-functional stakeholders.

WHAT YOU BRING

• Strategic Finance Expertise: Extensive experience leading complex FP&A cycles and financial planning (preferrably supporting Marketing, Sales, or similar Go-to-Market functions) with a focus on outcome-based budgeting and investment prioritization. 
• Executive Influence: Exceptional communication skills and the ability to act as a trusted advisor to senior stakeholders, translating financial data into compelling strategic recommendations.
• Analytical Strength: Financial modeling and proficiency with data systems (such as SQL, Snowflake, Tableau, or equivalent) to evaluate program performance and automate reporting workflows.
• Operational Ownership: A proactive mindset for managing financial governance and cross-functional processes, with the ability to operate independently in a fast-paced, high-visibility environment.
• We are primarily an in-office environment and therefore, you will be expected to work from the Chicago, IL, New York, NY, Raleigh, NC, or Santa Clara, CA office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE #LI-KQ1

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

Position Overview

ATLAS SP is seeking a Risk Technology (VP, Data & Enterprise Services) to join our Data & Enterprise Services team. This is a senior hands-on engineering role focused on delivering high-quality technology solutions supporting Market Risk, Credit/Counterparty Risk, and enterprise risk reporting.

The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.

This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.

Primary Responsibilities

• Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
• Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
• Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
• Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
• Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
• Drive improvements in automation, data validation, transparency, and modernization of risk processes.

Required Qualifications and Experience

• Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
• Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Python experience for data processing, analytics, and automation.
• Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
• Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
• Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
• Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Preferred Qualifications and Experience

• Experience with risk platforms, pricing engines, or market data systems.
• Familiarity with structured credit or whole loan analytics.
• Experience working with cloud platforms such as Azure or Snowflake.
• Understanding of credit and market risk regulatory frameworks.
• Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.

Base Salary Range

$150,000 - $210,000

Your Impact

You will lead revenue accounting operations and serve as a strategic partner to FP&A, Commercial Controllership, IT, Professional Services, and Sales. You will ensure accurate and compliant revenue recognition under ASC 606 while strengthening processes, controls, and scalability across a complex, multi-element revenue environment.
This role requires deep revenue accounting expertise in a fast-paced, public company setting.

This role would require relocation to Boston. This role follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Director, Revenue Accounting

What You’ll Do

• Lead day-to-day revenue accounting, including key revenue streams, journal entries, reconciliations, and disclosures.
• Ensure accurate revenue recognition and related accounts in compliance with ASC 606.
• Review and document technical accounting conclusions for complex contracts and multi-element arrangements (hardware, SaaS, professional services).
• Partner cross-functionally to evaluate contracts, resolve revenue issues, and optimize order-to-cash processes.
• Oversee monthly and quarterly close activities, analytics, and revenue reporting.
• Maintain and strengthen internal controls and support internal and external audits, including SOX compliance.
• Drive process improvements, automation, and system enhancements to improve efficiency and scalability.
• Coach and develop team members while fostering a high-performance culture.

What You Bring

• Bachelor’s degree in Accounting or Finance required; CPA preferred.
• 7+ years of progressive revenue accounting experience, including required ASC 606 experience in a publicly traded company environment.
• Strong technical expertise in complex revenue arrangements across hardware, SaaS, and professional services.
• Experience operating in a SOX-compliant environment and supporting audits.
• Demonstrated cross-functional partnership with Sales, FP&A, IT, and Operations.
• ERP experience required (D365 or comparable system); advanced Excel skills.
• Experience with automation and data tools (e.g., Sigma, Snowflake, Power BI, Salesforce, RevStream) strongly preferred.
• Finance or FP&A experience a plus.
• Strong analytical and communication skills, with the ability to translate complex accounting matters clearly.
• Proactive, solutions-oriented mindset with a focus on process improvement and scalability.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal.

In this role, you will

• Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML)
• Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment
• Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals
• Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem
• Drive alignment around approach and outcomes with Trust & Safety, Product, Engineering, Legal, and Policy partners across the team and organization, managing expectations and trade-offs
• Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements
• Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done

What we're looking for

• 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes
• Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus
• Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight
• Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making
• Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts
• Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals
• Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org
• Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action
• Evidence of mentoring others on the team/product org (coaching, reviews, raising standards)
• Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement)

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

Position Overview

ATLAS SP is seeking a VP, Finance Technology to join the Data & Enterprise Services team. This is a senior, hands-on role focused on technology solutions supporting fund accounting, financial reporting, and finance operations.
The individual will work closely with Finance and Operations teams to automate accounting workflows, improve data quality, and enhance the reliability and control of finance systems and reporting.
The role requires a hands-on technologist with strong business analysis skills, responsible for finance platforms and data pipelines supporting NAV, investor reporting, expense allocation, risk-related reporting, and legal-entity P&L.
This is an individual contributor role with significant ownership and delivery responsibility.

Primary Responsibilities
    
•    Build and support technology solutions for fund accounting, expense allocation, P&L reporting, fee calculation, and financial risk reporting.
•    Design and maintain data integrations, pipelines, and reconciliations across finance, operations, and external systems.
•    Work closely with third-party application teams and vendors to perform system integrations and onboard external platforms into the firm’s finance ecosystem.
•    Partner with Finance and Operations teams to translate accounting processes and requirements into scalable technical solutions.
•    Operate as a hands-on technologist with strong business analysis skills, owning solution design and delivery.
•    Collaborate with other engineers and maintain strong documentation and release discipline.

Qualification and Experience

•    5+ years of experience in Finance Technology or related roles within financial services or asset management.
•    Strong understanding of fund accounting and financial reporting concepts, including NAV, P&L, balance sheet, expense allocation, and fee calculations are plus.
•    Working knowledge of FIS Investran or similar loan servicing and accounting platforms is a plus. 
•    Strong SQL experience (e.g., Snowflake, SQL Server, or equivalent), including data modeling and ETL development.
•    Hands-on programming experience in .NET (C# preferred) and Python for building production-grade applications, data processing, and automation are desired
•    Experience designing and supporting system integrations with third-party applications and external vendors.
•    Proven ability to build reconciliation frameworks and data controls across accounting and reporting data sets.
•    Strong business analysis skills, with the ability to translate accounting and operational requirements into technical solutions.
•    Solid problem-solving and troubleshooting skills across complex, multi-system data flows.
•    Excellent communication skills, with the ability to work closely with Finance, Operations, and technology partners.
•    Bachelor’s degree in computer science, Engineering, Finance, Accounting, or a related field, or equivalent practical experience.

N/A

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings