Lead Data Engineer(Architect)

Overview

Hybrid

Depends on Experience

Full Time

No Travel Required

Skills

Data Vault

Databricks

Azure Fabric

Spark

Design and Architecture

Python

Synapse

Data lake

Azure cloud

Job Details

Position: Lead Data Engineer/Architect

Location: Atlanta, GA(Hybrid)

Experience: 15+ Years

Job Type: Full Time

Must Have: Data Vault, Microsoft Fabric/Databricks, Python, Azure cloud, 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).

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