Azure Data Architect

Tata Consultancy Services; Memphis (TX); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Parental Leaves

401K Plan

Certification & Training Reimbursement

Vacation & Holidays

Legal & Financial Assistance

Student Loan Refinancing

Commuter Benefits

Job summary

Tata Consultancy Services in the United States (Texas) seeks an Azure Data Architect to design and implement enterprise cloud data ecosystems on Azure. You will build robust data pipelines, govern data quality, and work with engineers, product managers, and business leaders to translate complex data needs into scalable technical solutions.

Deep hands-on experience with Azure Data Factory, Databricks, Synapse, and Python or Scala is essential, along with experience migrating on-premises data

Qualifications

• Azure Data Factory, Databricks, Synapse Analytics on Azure with Python/Scala.
• Experience designing enterprise cloud data ecosystems.
• Experience migrating on-premises data warehouses to cloud.

Responsibilities

• Lead cloud data architecture design across Azure services.
• Build secure, scalable data pipelines and governance.
• Collaborate with engineers, PMs and business leaders to translate data needs into solutions.

Skills

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Python

Scala

ETL/ELT

Data Modeling

Cost Optimization

Data Governance

BigQuery

Tools

Snowflake

Kafka/Event Hub

Power BI

Terraform/IaC

GCP

BigQuery

Data Lake Storage

Purview

Job description

Job Description

• Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure and strong proficiency in Python or Scala for data processing.

Must-Have

• Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure and strong proficiency in Python or Scala for data processing.

Good-to-Have

• Snowflake, Kafka/Event Hub, Power BI, Machine Learning integration on Azure, Terraform or Infrastructure as Code (IaC).
• Azure Data Architect to lead the design and implementation of enterprise data ecosystem. Data Architect will shape cloud data strategy, build robust data pipelines, and ensure data flows smoothly across storage, analytics, and reporting layers. Work with engineers, product managers, and business leaders to turn complex data needs into simple technical solutions.
• Deep hands-on knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure and strong proficiency in Python or Scala for data processing.
• Experience in building secure, scalable, and cost-effective cloud data architectures using Azure services like Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage.
• Hands-on design experience with BigQuery, Dataflow, Dataproc, Cloud Storage, and Cloud SQL/Spanner.
• Handson experience in creating and optimizing batch and streaming ETL/ELT workflows using Azure Data Factory and Spark frameworks and deep understanding of ETL/ELT processes, data warehousing principles, streaming/batch data processing, and data modeling.
• Experience with relational and dimensional data modeling along with creating conceptual, logical, and physical data models for structured and unstructured data to support business intelligence and advanced analytics.
• Experience in setting up data governance, quality standards, and lineage tracking using tools like Microsoft Purview.
• Experience in moving legacy on premises/Azure databases and data warehouses to Azure or GCP cloud environments with minimal downtime. Lead the re-architecture and migration of legacy on-premises data warehouses or third-party databases to GCP
• Experience in Implementing strict access controls, data masking, and role-based security using Azure Active Directory and Key Vault.
• Provide technical guidance and best practices to data engineering and development teams.
• Monitor, troubleshoot, and optimize data storage, cost efficiency, and high-performance query execution in BigQuery and other database layers.

Salary Range-$100,000-$140,000 a year

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.a
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.