Jobs via Dice · 14 hours ago
Data Engineering Manager
Coppell, TX
Full-time
Hybrid
Senior Level, Lead/Staff
10+ years expDice is the leading career destination for tech experts at every stage of their careers. Our client, Rapsys Technologies, is seeking two Data Engineering Managers to drive execution and delivery across engineering workstreams for a large-scale transformation of its data platform. The role involves providing hands-on delivery leadership, technical oversight, and risk management to ensure engineering milestones are met and assets are delivered on time.
Computer Software
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
Qualification
Required
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
Preferred
Experience in financial services, mortgage, or other highly regulated industries preferred
Company
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase