
Master Data Architect
4 days ago
We are seeking a highly skilled Data Engineer to drive the development of our data infrastructure.
This is a hands-on role where you will be responsible for designing, building, and operating production-grade data pipelines.
- In this position, you will lead a small squad or workstream, scope milestones, manage dependencies and risks, unblock engineers, and communicate status to stakeholders;
- You will define target states and data contracts, make build/buy calls, author RFCs, drive cost/performance guardrails and reliability patterns;
- Create reliable batch and change-driven pipelines, schedule/orchestrate jobs, handle schema evolution and failures gracefully;
- Implement clean, tested merge/transformation pipelines, produce models that are easy to consume for products and analytics, tune SQL for performance;
- Build or collaborate on APIs for data access/updates, design request/response contracts, handle auth (OAuth2/OIDC/JWT), idempotency, validation, and auditing;
- Provision/manage cloud resources with Terraform, automate build/test/deploy with CI/CD, write solid shell scripts for glue/ops tasks;
- Instrument logs/metrics/traces, define SLOs and on-call runbooks, lead incident reviews and drive root-cause prevention;
- Apply least-privilege access, secrets management, and encryption in transit/at rest, partner on compliance requirements;
- Champion unit/integration/data-quality tests (including SQL), enforce code health via reviews, linters, and CI checks;
- Operate async-first, produce concise docs (data contracts, mappings, runbooks, RFCs), collaborate closely with product/engineering/analytics across time zones.
- 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.
- Detailed information about our company has been removed for this job posting.
- Please share a brief note (one paragraph) about a recent pipeline/service: requirements, your role, tech, validation/tests, deployment/ops, outcome;
- Links to code samples or design docs (if available/shareable).
A competitive salary based on experience.
Flexible schedule with overlap for key meetings across time zones.
Remote work option.
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