Data Platform Engineer

Accenture in India; Maharashtra; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Accenture in India seeks a Data Platform Engineer to contribute to the data platform blueprint and its integration across systems. You will collaborate with Integration Architects and Data Architects to ensure cohesive data models and scalable data pipelines in a Databricks/Azure environment.

The role emphasizes ELT/streaming, Delta Lake optimization, Unity Catalog governance, and CI/CD, with a focus on Azure data services and GenAI-ready data products. Pune-based office location required.

Qualifications

• Must have at least 5 years of hands-on experience with data platform engineering.
• Experience with Microsoft Azure Databricks, Delta Lake and data lakehouse architectures.
• Strong knowledge of Azure data services, CI/CD pipelines, and data governance.

Responsibilities

• Build and operate scalable Lakehouse pipelines on Databricks/Azure.
• Own ELT/streaming, Delta Lake optimization, Unity Catalog governance, and CI/CD.
• Integrate ADLS/ADF/Synapse and deliver high-quality data sets for BI/ML/GenAI.
• Collaborate with Integration Architects and Data Architects to align data models.

Skills

Microsoft Azure Databricks

Education

15 years full time education

Tools

Azure Databricks

Delta Lake

CI/CD

Unity Catalog

DLT/Workflows

ADLS/ADF/Synapse

Job description

Project Role

Data Platform Engineer

Project Role Description

Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills

Microsoft Azure Databricks

Good to have skills

NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification

15 years full time education

Summary

As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design, ensuring that all relevant components are effectively incorporated. This role requires close collaboration with Integration Architects and Data Architects to maintain seamless integration between various systems and data models. The position demands active engagement in aligning platform strategies with organizational goals, facilitating smooth data flow and interoperability across multiple teams and technologies. The engineer plays a key role in supporting the overall architecture and ensuring that the platform meets evolving business and technical requirements.

Roles & Responsibilities

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead efforts to optimize data platform performance and scalability.
• Mentor junior team members to enhance their technical capabilities and understanding.
• Coordinate cross-functional initiatives to align data platform development with enterprise objectives.
• Build and operate scalable Lakehouse pipelines on Databricks/Azure. Own ELT/streaming, Delta Lake optimization, Unity Catalog governance, and CI/CD. Integrate ADLS/ADF/Synapse, and deliver high-quality data sets for BI/ML/GenAI.
• Must-haves: PySpark, SQL, Databricks (Delta, DLT/Workflows), Azure data services, Unity Catalog, CI/CD.

MLflow/Feature Store, Power BI, streaming/CDC, vector search/RAG, Terraform.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Microsoft Azure Databricks.
• Experience with distributed computing frameworks and big data processing.
• Strong knowledge of cloud-based data storage and management solutions.
• Familiarity with data integration techniques and ETL processes.
• Ability to troubleshoot and resolve complex data platform issues.
• Understanding of data security and governance principles within cloud environments.

Additional Information

• The candidate should have minimum 5 years of experience in Microsoft Azure Databricks.
• This position is based at our Pune office.
• A 15 years full time education is required.