Tata Consultancy Services

Platform Architect-Data Platforms

Tata Consultancy Services$150K — $240K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in platform engineering and data operations.
  • Proficiency in Databricks, dbt, AWS Cloud services, and Python.
  • Strong knowledge of Terraform, DevOps practices, and engineering best practices.
  • Previous experience supporting investment management organizations.
  • Expertise in designing and managing cloud-native data platforms.

Responsibilities

  • Lead design, implementation, and management of enterprise data platforms.
  • Define engineering strategy in alignment with enterprise architecture standards.
  • Establish frameworks and best practices for platform engineering.
  • Drive modernization initiatives across data ecosystems.
  • Manage the lifecycle, scalability, and reliability of the platform.
  • Oversee Databricks architecture and administration activities.
  • Implement automated CI/CD pipelines and Infrastructure-as-Code practices.

Benefits

  • Opportunity to lead high-impact data platform initiatives.
  • Chance to work with cutting-edge cloud technologies.
  • Engagement with a team focused on operational excellence and security.
  • Collaboration within a fast-paced enterprise data environment.
  • Development of innovative solutions for asset management operations.
Full Job Description
Platform Architect - Data Platforms

Must Have Technical/Functional Skills

Data Bricks , DBT ,Airflow PySpark, Astronomer

Roles & Responsibilities

We are seeking a highly skilled Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. The role will lead platform engineering,

infrastructure automation, DevOps enablement, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).

The ideal candidate will have deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, with strong experience supporting investment management organizations.

This role is responsible for establishing and managing a scalable, secure, and highly available data platform that supports analytics, reporting, regulatory compliance, portfolio management, risk management, and investment operations.

Key Responsibilities
• Lead the design, implementation, and management of enterprise data platforms.
• Define platform engineering strategy aligned with EDO and enterprise architecture standards.
• Establish reusable platform frameworks, accelerators, and engineering best practices.
• Drive cloud-native modernization initiatives across data and analytics ecosystems.
• Own platform lifecycle management, scalability, availability, and reliability.
• Lead enterprise-wide Databricks platform architecture and administration.
• Design and implement Lakehouse architecture leveraging Delta Lake.
• Manage: Databricks Workflows ,Delta Live Tables (DLT) ,Unity Catalog ,

MLflow ,Structured Streaming ,Cluster Policies ,Security and Access Controls
• Optimize platform performance and cost efficiency.
• Build governance controls across development, test, and production environments
• Lead cloud engineering activities using AWS services:S3 ,ECS,EKS,Lamda .Glue ,Cloudwatch
• Infrastructure as a Code (IaC)
• Build reusable Terraform modules.
• Automate environment provisioning.
• Implement infrastructure standardization and governance.
• Maintain infrastructure version control.
• Ensure compliance through Infrastructure-as-Code practices.
• Design and implement CI/CD pipelines.
• Automate deployment and release management processes.
• Enable Infrastructure-as-Code and GitOps methodologies.
• Improve deployment velocity and reliability.
• Support engineering teams with self-service platform capabilities.
• GitHub Actions ,GitLab CI/CD ,Jenkins ,Azure DevOps ,Terraform ,Docker ,Kubernetes
• Support API integrations and operational workflows.
• Establish Site Reliability Engineering (SRE) practices.
• Define platform SLAs, SLOs, and operational metrics.
• Lead platform monitoring, observability, and incident management.
• Drive root cause analysis and preventive actions

Salary Range- $150,000-$240,000 a year

About Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company, headquartered in Mumbai, Maharashtra, India. It is a subsidiary of Tata Group and operates in 149 locations across 46 countries. TCS is the largest Indian company by market capitalization and is ranked 11th on the Forbes Global 2000 list of the world's biggest public companies. TCS is also the second-largest IT services company in the world by revenue and the largest employer of women in India. The company provides services in areas including IT, consulting, and business solutions.
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