Azure Data Engineer (Semantic Layer is must)
Coppell, TX
Must work on W2
Will need to work fully onsite for the first 6 weeks - after that, will be hybrid.
Also important to note - they do not issue laptops - they have everyone use their personal laptops with a VDI. Will this be an issue?
Here are some additional details for this role - looking for someone very strong on the Data side who has also (ideally) program manager more recently.
Resumes need to highlight semantic/reporting & analytics/visualization.
Also looking for reporting tool experience and ideally technical/project management certifications.
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.
Reporting Structure
- These roles will report directly to an AVP or Noble, depending on alignment within the program s data platform leadership structure.
- Program Managers from the PMO will oversee the broader portfolio, while Data Engineering Managers own track-level delivery.
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