Data Platform Engineer

EDO Platform Engineering Lead

Experience: 12-18+ Years

Location: Hybrid / Onsite / Remote (Mty, Gdl, CDMX or Qro.)

Domain: Asset Management, Investment Management, or Wealth Management

About the Role

We are seeking an experienced EDO Platform Engineering Lead to drive the design, automation, governance, and reliability of our enterprise data platform. This role will lead cloud-native platform engineering initiatives and support critical data, analytics, and investment management workloads across the organization.

The ideal candidate brings deep expertise in Databricks, AWS, dbt, Terraform, Python, and DevOps, along with a passion for building scalable, secure, and high-performing data platforms.

Required Skills

• Databricks (Lakehouse, Delta Lake, Unity Catalog, DLT, MLflow, Workflows)
• AWS Cloud Services (S3, ECS, EKS, Lambda, Glue, CloudWatch)
• dbt, Python, SQL
• Terraform and Infrastructure as Code (IaC)
• CI/CD and DevOps practices
• Docker, Kubernetes
• GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps
• Platform Engineering, Site Reliability Engineering (SRE), and Observability
• Strong understanding of Data Governance, Security, and Platform Operations

What You'll Do

• Lead the architecture, implementation, and management of enterprise-scale data platforms.
• Design and optimize Databricks Lakehouse solutions using Delta Lake and modern data engineering best practices.
• Drive cloud platform engineering and automation across AWS environments.
• Build and maintain reusable Terraform modules and Infrastructure-as-Code frameworks.
• Establish and enhance CI/CD pipelines, deployment automation, and GitOps practices.
• Ensure platform scalability, availability, security, performance, and cost optimization.
• Implement monitoring, observability, incident management, and SRE best practices.
• Define platform SLAs, SLOs, operational metrics, and reliability standards.
• Support API integrations and enable self-service capabilities for engineering teams.
• Partner with business, architecture, and engineering teams to deliver secure and scalable data solutions.

Preferred Qualifications

• 12+ years of experience in Platform Engineering, Data Engineering, or Cloud Engineering.
• Experience within Asset Management, Investment Management, or Wealth Management environments.
• Strong leadership, stakeholder management, and strategic planning skills.
• Experience leading large-scale cloud modernization and enterprise data initiatives.

Why Join Us?

This is an exciting opportunity to lead the evolution of a modern enterprise data platform, leveraging cutting-edge cloud and data technologies while enabling business-critical analytics and investment operations.

Keywords: Databricks | AWS | Terraform | dbt | Python | DevOps | Platform Engineering | SRE | Asset Management | Data Platform Leadership 🚀

Other Considerations

Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression, age, marital status, disability, sexual orientation or any others.