Azure Data Architect: Lead Cloud Data Ecosystem & Pipelines

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

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage: Medical & Health, (D

Family Support: Maternal & Parental Le

Auto & Home Insurance

Commuter Benefits & Certification &amp

Vacation, Time Off, Holidays

Legal & Financial Assistance: 401K, &c

Job summary

Tata Consultancy Services in Memphis, TN, USA, is seeking an experienced cloud data architect to design and implement our enterprise data ecosystem. You will lead data pipelines across Azure services, ensuring scalable, secure, and cost-efficient solutions with governance and compliance in mind.

Ideal candidates have deep hands-on Azure data expertise, strong Python or Scala skills, and experience translating business needs into robust data architectures.

Qualifications

• Azure data engineering experience with cloud data platforms.
• Strong proficiency in Python or Scala for data processing.
• Experience designing enterprise cloud data architectures.
• Knowledge of data governance and security practices.

Responsibilities

• Lead design and implementation of enterprise cloud data ecosystem.
• Turn complex data needs into practical technical solutions.
• Collaborate with engineers, product managers and leaders to shape data strategy.

Skills

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Python

Scala

ETL/ELT pipelines

Tools

Snowflake

Kafka / Event Hub

Power BI

Terraform / IaC

BigQuery

Dataflow

Dataproc

Cloud Storage

Cloud SQL / Spanner

Microsoft Purview

Job description

Tata Consultancy Services in Memphis, TN, USA, is seeking an experienced cloud data architect to design and implement our enterprise data ecosystem. You will lead data pipelines across Azure services, ensuring scalable, secure, and cost-efficient solutions with governance and compliance in mind.

Ideal candidates have deep hands-on Azure data expertise, strong Python or Scala skills, and experience translating business needs into robust data architectures.