
Data Warehouse Tech Lead – GCP
Derevo
full-time
Posted on:
Location Type: Hybrid
Location: New Jersey • New Jersey • United States
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Job Level
Tech Stack
About the role
- Lead end-to-end Data Warehouse projects, from requirements gathering to implementation and delivery.
- Act as a technical and functional reference for both clients and internal teams.
- Design, maintain, and optimize Data Warehouse architectures on Google Cloud Platform (GCP).
- Define and oversee analytical data models, ensuring data quality, performance, and scalability.
- Translate business and functional requirements into effective technical solutions.
- Guide the design and execution of ETL/ELT processes using BigQuery, Dataflow, Composer, and other GCP services.
- Ensure best practices in data governance, security, and quality.
- Provide technical leadership and mentoring to less experienced engineers.
- Participate in technical decision-making, planning sessions, and prioritization activities.
- Collaborate closely with cross-functional teams to ensure high-quality delivery aligned with business objectives.
Requirements
- Strong experience leading Data Warehouse projects.
- Solid technical background in Data Engineering and analytical architectures.
- Experience working with Google Cloud Platform (GCP) (BigQuery, Dataflow, Composer, Cloud Storage, etc.).
- Strong understanding of BI and analytics concepts.
- Proven experience leading technical components, initiatives, or teams within data projects.
- Ability to perform in a hybrid role: technical and functional.
- Advanced English (mandatory).
Benefits
- WELLNESS We promote personal, professional, and financial well-being.
- LET’S RELEASE YOUR POWER Opportunities to specialize and grow across different technologies and domains.
- WE CREATE NEW THINGS Freedom and support to design innovative data solutions.
- WE GROW TOGETHER Participation in cutting-edge, multinational technology projects with diverse teams.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data WarehouseETLELTdata modelingdata governancedata qualitydata performancedata scalabilitydata engineeringanalytical architectures
Soft skills
technical leadershipmentoringcollaborationcommunicationplanningdecision-makingrequirements gatheringproblem-solvingcross-functional teamworkbusiness alignment