Lead Data Engineer

Position: Lead Data Engineer

Location: Atlanta, GA (Hybrid)

Experience: 12+ Years

Job Type: Full Time/ C2C

Must Have: Data Vault, Microsoft Azure, Data Vault, wealth management or financial services industry.

Responsibilities:

As a Lead Data Engineer, you will play a pivotal role in designing and managing company's

modern data infrastructure. You will help shape and execute the data strategy that enables

trusted, scalable, and high-performing solutions across the organization. Your work will directly

support company's mission to deliver data-driven wealth management services through

innovation, governance, and collaboration.

Key Responsibilities

• Define, document, and manage enterprise data strategy, including schema design, SLAs, data contracts, security, and compliance.
• Promote best practices in data architecture and engineering, particularly within the wealth management and financial services sectors.
• Lead and grow a high-impact data engineering team, focusing on platform performance, CI/CD, and operational excellence.
• Own the roadmap for continuous improvements, including Azure/Microsoft Fabric modernization, compliance, and cost optimization initiatives.
• Ensure platform reliability through automated testing for performance, security, and scalability.
• Collaborate with analytics, business, and technology teams to align on architecture, governance, and delivery timelines.
• Manage and optimize ingestion, transformation, and curation of large-scale structured and unstructured data.
• Develop reusable data components and pipelines for enterprise reporting, BI, and advanced analytics.
• Implement DataOps practices, including metadata management, monitoring, alerting, and data quality frameworks.
• Advocate for scalable modeling approaches such as semantic layer design and Data Vault 2.0 methodology.

Required Skills & Expertise

• Strong leadership, communication, and collaboration skills across cross-functional teams.
• Proven experience with Microsoft Azure data tools: Azure Synapse, Data Lake, Data Factory, and Microsoft Fabric.
• Successful track record delivering data engineering solutions in the wealth management or financial services industries.
• Deep understanding of modern architectural frameworks: Lakehouse, Data Mesh, Data Fabric, and ELT/ETL orchestration.
• Ability to deliver data products supporting Finance, Product, Sales, and Marketing domains.
• Hands-on expertise in data modeling, data cataloging, lineage tracking, and data governance.
• Skilled in CI/CD, Agile development practices, and working in enterprise-scale cloud environments.
• Experience with Data Vault 2.0 modeling preferred.
• Familiarity with domain-specific platforms like Salesforce and Yardi is a plus.

Preferred Qualifications

• Strong architectural knowledge of Microsoft Fabric and the Azure-native analytics ecosystem.
• Microsoft Azure Certification or equivalent cloud credentials.
• Exposure to AI/ML frameworks and their application to business problems is a plus.
• Strong presentation skills to communicate data-driven insights to stakeholders at all levels.

Education & Experience

• 12+ years of IT experience, with a focus on data engineering, systems design, or data architecture.
• 5+ years in a data architect or lead data engineering role with progressive responsibilities.
• Bachelor s degree in Computer Science, Information Systems, or a related field (Master s preferred).