1 month ago

Azure Databricks + PySpark - Sr Technical Lead - Data Engg

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Seasoned Senior Azure Data Engineer / Sr. Technical Lead to design, architect, and deliver enterprise-scale data solutions on Azure. Lead complex data initiatives, mentor engineering teams, and collaborate with cross-functional stakeholders to build scalable MDW/Lakehouse architectures using Databricks, PySpark, ADF, and Delta Lake, while ensuring performance, security, and cost optimization.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design, development, and deployment of large-scale data engineering solutions using Azure Databricks, PySpark, SQL, ADF, and Azure Data Lake.
•Architect end-to-end Modern Data Warehouse and Lakehouse solutions, ensuring scalability, performance, security, and cost optimization.
•Define technical standards, coding best practices, reusable frameworks, and architectural guidelines for engineering teams.
•Provide technical leadership across the project lifecycle—requirements analysis, solution blueprinting, estimation, development, and deployment.
•Collaborate with BI, analytics, business teams, and architects to convert business requirements into scalable technical solutions; lead code reviews and mentor junior engineers.

Key Requirements

•Extensive expertise in Azure Databricks, PySpark, ADF, SQL, and modern data engineering practices
•Ability to design, architect, and deliver enterprise-scale data solutions on Azure
•Strong technical leadership with hands-on engineering capabilities and mentoring responsibilities
•Experience with Delta Lake, data governance, and CI/CD integration for data platforms
•Excellent collaboration with cross-functional stakeholders to translate business requirements into scalable technical solutions

Experience:Data engineeringAzureCloudBig dataETL

Skills:LeadershipMentoringCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:Azure DatabricksPySparkSQLAzure Data FactoryDelta LakeAzure Data LakePythonCI/CD

Company Brief

Birlasoft

Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Noida, India

Website LinkedIn

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Birlasoft

1 month ago

Azure Databricks + PySpark - Sr Technical Lead - Data Engg

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design, development, and deployment of large-scale data engineering solutions using Azure Databricks, PySpark, SQL, ADF, and Azure Data Lake.
•Architect end-to-end Modern Data Warehouse and Lakehouse solutions, ensuring scalability, performance, security, and cost optimization.
•Define technical standards, coding best practices, reusable frameworks, and architectural guidelines for engineering teams.
•Provide technical leadership across the project lifecycle—requirements analysis, solution blueprinting, estimation, development, and deployment.
•Collaborate with BI, analytics, business teams, and architects to convert business requirements into scalable technical solutions; lead code reviews and mentor junior engineers.

Key Requirements

•Extensive expertise in Azure Databricks, PySpark, ADF, SQL, and modern data engineering practices
•Ability to design, architect, and deliver enterprise-scale data solutions on Azure
•Strong technical leadership with hands-on engineering capabilities and mentoring responsibilities
•Experience with Delta Lake, data governance, and CI/CD integration for data platforms
•Excellent collaboration with cross-functional stakeholders to translate business requirements into scalable technical solutions

Experience:Data engineeringAzureCloudBig dataETL

Skills:LeadershipMentoringCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:Azure DatabricksPySparkSQLAzure Data FactoryDelta LakeAzure Data LakePythonCI/CD

Company Brief

Birlasoft

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Noida, India

Website LinkedIn