Chief Data Engineering Lead

1 week ago

Delhi, Delhi, India beBeeDataPlatform Full time US$ 1,20,000 - US$ 1,50,000

Job Opportunity

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We are seeking a highly skilled and experienced Data Platform Engineer to lead our team in building and operating production-grade data pipelines. The ideal candidate will have a strong technical background, excellent leadership skills, and the ability to communicate effectively across different teams and time zones.

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  • Key Responsibilities:
  • Technical Leadership & Delivery: Provide technical direction, run design reviews, coach engineers, and coordinate work across time zones.
  • Architecture & Direction: Define target states and data contracts, make build/buy calls, author RFCs, drive cost/performance guardrails and reliability patterns.
  • Data Pipelines: Design, build, and operate reliable batch and change-driven pipelines, schedule/orchestrate jobs, handle schema evolution and failures gracefully.
  • Transformations & Modeling: Implement clean, tested merge/transformation pipelines, produce models that are easy to consume for products and analytics, tune SQL for performance.
  • APIs & Integration: Build or collaborate on APIs for data access/updates, design request/response contracts, handle auth (OAuth2/OIDC/JWT), idempotency, validation, and auditing.
  • Infrastructure & DevOps: Provision/manage cloud resources with Terraform, automate build/test/deploy with CI/CD, write solid shell scripts for glue/ops tasks.
  • Observability & Reliability: Instrument logs/metrics/traces, define SLOs and on-call runbooks, lead incident reviews and drive root-cause prevention.
  • Security & Compliance: Apply least-privilege access, secrets management, and encryption in transit/at rest, partner on compliance requirements.
  • Quality & Standards: Champion unit/integration/data-quality tests (including SQL), enforce code health via reviews, linters, and CI checks.
  • Collaboration & Docs: Operate async-first, produce concise docs (data contracts, mappings, runbooks, RFCs), collaborate closely with product/engineering/analytics across time zones.
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Required Skills & Qualifications:

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  • Proven leadership: led engineers or owned large, multi-team projects; comfortable running design reviews and giving actionable feedback.
  • Strong SQL (tuning, indexing, query plans) and solid RDBMS fundamentals (e.g., Postgres, SQL Server, MySQL).
  • Python for data work and services; comfortable with shell scripting (bash preferred; Powershell acceptable).
  • Terraform and IaC fundamentals; CI/CD experience (version control workflows, automated tests, environment promotion).
  • Cloud: Azure preferred (storage, compute, identity, monitoring). If not Azure, very strong AWS background.
  • Data integration: Ingestion (batch + change-driven), orchestration, schema/versioning, resilient retries/replays.
  • Workflow orchestration: Prefect preferred (flows/deployments, retries/backoff, scheduling, observability); Airflow/Dagster also acceptable.
  • APIs & auth: REST patterns, pagination, validation, rate limiting, OAuth2/OIDC/JWT.
  • Observability: Logs/metrics/traces and actionable alerts/dashboards.
  • Testing mindset: Habit of writing tests for code and SQL; fixtures/test data; CI.
  • Communication: Clear written/verbal comms; practiced cross-timezone collaboration.
  • AI tooling: Ready to use Claude Code (and similar assistants) to accelerate work—while exercising judgment and writing your own code/tests.
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