Enterprise Data Architect: Scale Data Lakes & Governance

Tata Consultancy Services Limited; Grand Rapids (MI); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage: Medical & Health

Dental & Vision

Disability Planning & Insurance

Commuter Benefits

Certification & Training Reimbursement

Vacation & Holidays

401K Plan

Performance Bonus

Family Leaves

Life Insurance

Job summary

Tata Consultancy Services Limited in Grand Rapids, MI, seeks an experienced Enterprise Data Architect to lead the design of scalable data lakes, warehouses and pipelines. You will define standards, govern data quality, and steer security across Azure-based analytics platforms, collaborating with engineers, analysts and solution architects.

Bring strong expertise in data modeling, governance, and modern data stack tooling, with hands-on Python/SQL/PySpark experience and Terraform/IaC skills to

Qualifications

• Proven experience in enterprise data architecture and modeling.
• Strong data governance, quality and metadata management knowledge.
• Hands-on with Azure cloud data platforms and CI/CD pipelines.
• Proficiency in Python, SQL and PySpark for data processing.

Responsibilities

• Define enterprise data architecture standards, models and best practices.
• Design scalable data lakes, warehouses and data pipelines.
• Lead data strategy, governance, security and quality initiatives.
• Provide architecture guidance for Azure-based analytics solutions.
• Collaborate with stakeholders, data engineers, analysts and architects.

Skills

Enterprise data architecture

Data modeling

Data governance

Azure cloud

Python

SQL

PySpark

Data quality

Tools

Azure Data Factory

Azure DevOps

CI/CD

Terraform / IaC

Data warehouses / data lake

Job description

Tata Consultancy Services Limited in Grand Rapids, MI, seeks an experienced Enterprise Data Architect to lead the design of scalable data lakes, warehouses and pipelines. You will define standards, govern data quality, and steer security across Azure-based analytics platforms, collaborating with engineers, analysts and solution architects.

Bring strong expertise in data modeling, governance, and modern data stack tooling, with hands-on Python/SQL/PySpark experience and Terraform/IaC skills to