Tata Consultancy Services

Data Architect

Tata Consultancy Services$110K — $125K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong hands-on experience in Microsoft Fabric / Azure Data Engineering stack
  • Knowledge of Data Lake architecture and design patterns
  • Proficiency in ETL/ELT frameworks and pipeline orchestration
  • Expertise in PySpark, Spark SQL, and Advanced SQL
  • Experience in Data Lake and Data Warehouse implementations as an Architect
  • Familiarity with data governance, security, and access control
  • Hands-on experience with SAP and multiple ERP systems for data ingestion

Responsibilities

  • Design and implement data solutions using Microsoft Fabric and Azure technologies
  • Develop and orchestrate ETL/ELT pipelines to ensure efficient data flow
  • Create data models following star schema principles
  • Oversee data governance and ensure security measures are in place
  • Collaborate with cross-functional teams for integrated data solutions
  • Maintain and optimize data architecture for performance and scalability
  • Utilize CI/CD and DevOps principles in data engineering processes

Benefits

  • Discretionary Annual Incentive
  • Comprehensive Medical Coverage including Dental, Vision, and Disability Insurance
  • Family support with Maternal and Parental Leaves
  • Insurance options such as Auto & Home Insurance and Identity Theft Protection
  • Convenience benefits like Commuter Benefits and Certification Reimbursement
  • Generous time off including Vacation, Sick Leave, and Holidays
  • Legal Assistance and student loan refinancing options
Full Job Description
Must Have Technical/Functional Skills
• Strong hands-on experience in Microsoft Fabric / Azure Data Engineering stack

o Lakehouse, OneLake, Pipelines, Notebooks

o Azure Data Factory / ADLS / Databricks
• Strong knowledge of:

o Data Lake architecture & design patterns

o ETL/ELT frameworks and pipeline orchestration

o PySpark / Spark SQL / Advanced SQL

o Data Lake / Lakehouse / DWH concepts

o Data modeling (Star Schema, Fact/Dimension design

o Data security (row/column level security concepts
• Strong experience in Data Lake / Data Warehouse implementations as an Architect
• Experience in data governance, security & access control (RBAC, Purview, etc.)
• Proven experience in enterprise-scale data platform design
• Experience in CI/CD & DevOps for Data Engineering
• Hands-on experience working with SAP and multiple ERP systems (Sales & Finance modules preferred) for data ingestion
• Good understanding of:

o Data mapping (source-to-target at attribute level)

o ERP data structures (master & transactional data)

o Data analysis and data validation techniques

Base Salary Range: $110,000 - $125,000 per annum

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Lea ve & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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.
Learn more about Tata Consultancy Services
Size
469,261 employees
Industry

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