Data Architect

Cybage; Pune District; Hybride; INR 350 000 - 600 000; Plein temps

Résumé du poste

Cybage is seeking a Senior Data Platform and Automation Engineer to lead secure, scalable data platform capabilities and governance automation. The role focuses on data engineering, cloud platforms, and enterprise integration across teams.

Responsibilities include building automated controls, APIs, MCP tools, and configurable data services, while ensuring identity, access controls, and production-grade quality throughout the lifecycle.

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.

Responsabilités

• 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.

Connaissances

Python

SQL

Distributed processing

Data modeling

Modern data engineering

Cloud platforms

Data catalogs

Metadata

Data lineage

Data quality

Access controls

Databricks

Unity Catalog

Data Lake

Apache Spark

CI/CD

Automated testing

Production deployment

APIs

RBAC

Secrets management

Description du poste

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