Senior Data Engineer
Listed on 2026-10-05
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IT/Tech
Data Engineering, Systems Engineer, Cloud Computing: Infrastructure & Operations
We are looking for a Staff-level Data & Backend Engineering Lead to provide technical leadership for a large-scale enterprise transformation program. This role is approximately 60% technical leadership, architecture, design and engineering reviews / 40% hands-on engineering.
The ideal candidate has previously played a lead technical role in a complex enterprise modernization or transformation, while remaining hands-on with backend development, data engineering and production troubleshooting.
Key Responsibilities- Lead technical architecture, solution design and engineering execution across backend and data engineering work streams.
- Translate complex data engineering and integration requirements into well-defined technical user stories, tasks and acceptance criteria in JIRA, enabling effective execution by the development team.
- Drive technical execution across multiple parallel development streams and US/APAC engineering teams.
- Provide hands-on development and troubleshooting using Java/Spring Boot, GCP and Big Query.
- Own/review data integration patterns involving Big Query, Dataflow, Pub/Sub, GCS, Cloud Scheduler, Cloud Run/Functions and Composer/Airflow.
- Ensure clear traceability of data movement into, within and out of Big Query, including troubleshooting complex data integration and production issues.
- Establish and enforce engineering best practices across SDLC, Git branching, merge/release strategy, CI/CD and environment promotion, particularly where multiple teams are developing and releasing concurrently.
- Lead code/design reviews and mentor engineers on engineering standards and technical decision-making.
- Drive quality through strong unit, integration, automation and data-validation testing practices.
- Staff/Lead-level engineering experience on a large-scale enterprise transformation or modernization programinvolving multiple systems, datasets and parallel work streams.
- Deep Google Cloud data engineering expertise, particularly Big Query and Dataflow, with strong understanding of end-to-end data integration and lineage/traceability.
- Experience with GCP integration/orchestration technologies such as Pub/Sub, GCS, Cloud Scheduler, Cloud Run/Functions and Composer/Airflow.
- SME-level understanding of SDLC and Git branching/release strategies for complex, multi-threaded development environments.
- Strong experience establishing and reviewing unit tests, automated integration tests and data-validation automation.
- Demonstrated ability to lead architecture/design reviews, code reviews, production troubleshooting and technical mentoring while remaining hands-on.
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Corporate social events
- Well-equipped office
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & Dev Ops, application modernization and customer experience.
Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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