Data Engineering Manager

Role Overview

Must have strong Snowflake

About the Role

Our client is undergoing a large-scale transformation of its data platform, moving from legacy systems to a Snowflake-based modern data ecosystem that supports AI, BI, and enterprise analytics. To drive execution and delivery across engineering workstreams, we are seeking two Data Engineering Managers to serve as delivery leads for key tracks within the program.

These roles 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.

Each Manager will own one of two tracks:

1. Snowflake Pipelines & ETL (Bronze/Silver layers) technical track focused on ingestion, transformation, testing, and data platform build-out.
2. 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 (Snowflake pipelines/ETL or Semantic layer/reporting).
• Ensure all engineering deliverables are executed against the program roadmap and timelines; identify risks and implement mitigation strategies.
• Work daily with engineering teams, internal program managers, AVPs, and business stakeholders to track progress and resolve issues.
• Attend and contribute to daily scrums with onshore, offshore 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, Consulting Firms, and cloud vendors (Google, AWS, etc.).
• Act as the bridge between engineering execution and program leadership, ensuring clarity in priorities, milestones, and dependencies.

Qualifications

• 10+ years of experience in data engineering and delivery leadership.
• Must have Semantic Layer
• 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 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.