Lead Azure Data Engineer
Dallas, TX (Will need to work fully onsite for the first 6 weeks - after that, will be hybrid)
Updated description:
This role will provide hands-on delivery leadership, technical oversight, and risk management to ensure engineering milestones are met, risks are addressed, and assets are delivered on time and to specification.
The Manager will own:
Semantic Views & Reporting Enablement business-focused track driving configuration of semantic layers, reporting views, and dashboard readiness for downstream consumers.
Key Responsibilities
Serve as the delivery lead for one of the core data engineering tracks (Semantic layer/reporting).
Ensure all engineering deliverables are executed against the program roadmap and timelines; identify risks and implement mitigation strategies.
Work daily with Deloitte engineering teams, internal program managers, AVPs, and business stakeholders to track progress and resolve issues.
Attend and contribute to daily scrums with onshore, offshore, and Deloitte engineers, ensuring blockers are removed and deliverables stay on track.
Provide technical oversight for data engineering efforts including:
Snowflake pipelines (Bronze, Silver layers)
DBT transformations and configuration
Semantic view modeling for BI/reporting
Testing frameworks and validation processes
Mentor and monitor engineers across the workstream; foster accountability and quality delivery.
Deliver polished status updates and risk reports to program managers and executive leadership (CIO, AVPs, executive steering committee).
Collaborate with PMO program managers, ensuring alignment across business, change management, Deloitte, and cloud vendors (Google, AWS, etc.).
Act as the bridge between engineering execution and program leadership, ensuring clarity in priorities, milestones, and dependencies.
Qualifications
6+ years of experience in data engineering and delivery leadership.
Proven track record managing delivery of Snowflake-based data platforms (pipelines, ETL, semantic layers).
Hands-on experience with:
SQL, Python, PySpark
Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold architecture)
DBT for transformations/configurations
ETL/ELT tools (Airflow, Informatica, Glue, ADF, etc.)
Strong background in data pipeline testing, validation, and quality frameworks.
Experience working with consulting partners (Deloitte preferred) and distributed onshore/offshore engineering teams.
Excellent delivery and risk management skills able to foresee challenges, maintain RAID logs, and keep workstreams accountable.
Strong executive presence; comfortable reporting to AVPs, CIO, and executive steering committees.
Effective communicator who can bridge business and technical discussions.
Experience in financial services, mortgage, or other highly regulated industries preferred.
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