Data Architect
Posted Updated
Summary
Senior data platform and automation engineer at Cybage in Pune who architects secure, scalable data platforms and governance automation — building metadata, lineage, quality, and access controls, secure APIs/MCP tools, and CI/CD pipelines using Python, SQL, Databricks, Apache Spark, and cloud data platforms.
Senior Data Platform and Automation Engineer (1 position):
Role Summary
Self-directed senior engineer to build secure, scalable data platform capabilities and governance automation, with strong data engineering, cloud platform, and enterprise integration experience.
Key Responsibilities
- Architect secure, scalable data platform and governance automation capabilities
- Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement
- Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications
- Design reusable, configuration-driven patterns for governed data/platform services
- Implement identity, authz, least-privilege access, auditability, and credential management
- Build automated validation, testing, deployment, and monitoring environments
- Partner with domain experts, PMs, governance teams, and engineers on technical controls
- Establish observability for platform health, data quality, policy results, and failures
- Own production-quality code, tests, documentation, and operational guidance
- Mentor other engineers; guide technical direction across teams
Must-Have Qualifications
- Total of 12+ years of experience
- 5+ years software/data engineering experience (or equivalent demonstrated skill)
- 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks
- Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls
- Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable
- CI/CD, automated testing, environment separation, production deployment
- Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps
- Enterprise identity, RBAC, service accounts, secrets, least-privilege security
- Full lifecycle experience: architecture development deployment production support
Nice-to-Have Qualifications
- GitLab CI/CD or comparable
- Policy-as-code, infrastructure-as-code, configuration-driven platforms
- Experience building data marketplaces, governance platforms, or internal developer platforms
- Familiarity with privacy/security/regulatory/AI governance controls
Experience in regulated or risk-sensitive environments
