Chief Data Platform Architect

1 week ago

India beBeeDataPlatform Full time US$ 1,00,000 - US$ 1,50,000
Key Data Platform Leadership Role

As a Lead Data Platform Engineer, you will be responsible for driving the development and operation of scalable data pipelines. You will set technical direction, oversee design reviews and code reviews, coach engineers, and coordinate work across time zones to achieve business objectives.

Main Responsibilities
  • Technical leadership & delivery: Direct a small team or project stream; scope milestones; manage dependencies and risks; unblock engineers; communicate progress to stakeholders
  • Data pipeline design & operation: Define target states and data contracts; make build/buy calls; author documentation; drive cost/performance guardrails and reliability patterns
  • Pipeline management: 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
Required Skills & Qualifications
  • Proven leadership: led engineers or owned large, multi-team projects; comfortable running design reviews and giving actionable feedback
  • Strong SQL fundamentals (tuning, indexing, query plans) and RDBMS knowledge (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 expertise: 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
About This Opportunity

This is an excellent chance to develop your skills and take on new challenges in a dynamic environment. If you have experience leading teams, architecting data platforms, and collaborating with others, this could be the perfect fit for you.

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