Job Description

Lead Data Engineer

Location: Hybrid (Atlanta, GA preferred)

About Our Client:
They are a leading strategic provider of innovative investment and consulting solutions serving independent financial advisors. We empower advisors with investment, relationship, and practice management tools that help their clients achieve wealth, independence, and purpose.

The Role:

As a Lead Data Engineer , you will play a pivotal role in designing and managing our client'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 the client’s mission to deliver data-driven wealth management services through innovation, governance, and collaboration.

Key Responsibilities:

• Define, document, and manage the enterprise data strategy, including schema design, SLAs, data contracts, security, and compliance.
• Evangelize best practices across data architecture and data engineering disciplines, particularly in wealth management and financial services domains.
• Lead and grow a high-impact data engineering team responsible for platform performance, CI/CD, and operational excellence.
• Own the implementation roadmap for continuous improvements, including Azure/Fabric-based modernization , compliance, and cost optimization.
• Ensure robust platform reliability through automated test cases for performance, security, and scalability.
• Partner cross-functionally 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 datasets .
• Develop reusable data components and pipelines to support enterprise reporting, BI, and advanced analytics.
• Champion DataOps, metadata management, monitoring, alerting , and data quality frameworks .
• Advocate for scalable modeling practices including semantic layer design and preferred Data Vault 2.0 methodology for enterprise architecture.

Required Skills & Expertise:

• Strong leadership, communication, and cross-team collaboration skills.
• Extensive experience building data platforms in Microsoft Azure , including tools like Azure Synapse, Data Lake, Data Factory , and Microsoft Fabric .
• Demonstrated success delivering data engineering solutions in the wealth management or financial services industry .
• Expertise with modern architectural concepts: Lakehouse, Data Mesh, Data Fabric, and ELT/ETL orchestration .
• Proven ability to deliver analytical data products across domains such as Finance, Product, Sales, and Marketing.
• Hands-on experience with data modeling, data cataloging, lineage tracking , and governance .
• Proficient in CI/CD , Agile methodologies, and working within enterprise-scale cloud environments.
• Preferred experience with Data Vault 2.0 modeling for building scalable, auditable data systems.
• Familiarity with Salesforce, Yardi , and other domain-specific systems is a plus.

Preferred Qualifications:

• Strong architectural knowledge of Microsoft Fabric and Azure-native analytics stack .
• Microsoft Azure Certification or similar cloud credentials.
• Familiarity with applying AI/ML frameworks to business problems is a plus.
• Strong ability to interpret and present data-driven insights to stakeholders at all levels.

Education & Experience:

• 12+ years in IT with a focus on data engineering, systems design, or data architecture.
• 5+ years in a data architect or lead engineer capacity with increasing responsibility.
• Bachelor’s degree in computer science, Information Systems, or a related field (master’s preferred).

• Visa sponsorship is not available for this position.

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