Sr. Data Platform Engineer - Azure & Microsoft Fabric

aveva; Mumbai; Hybrid; INR 1,400,000 - 2,400,000; Full time

Job summary

AVEVA in Mumbai is seeking a Senior Data Platform Engineer to design, build, and maintain scalable data pipelines on Microsoft Fabric as part of a major migration from Azure Synapse Analytics. The role emphasizes a Medallion Architecture approach and collaboration with BI teams to support Power BI reporting.

You will contribute 90% data engineering and 10% DevOps, including deployment, environment management, and release coordination for Fabric artifacts, in a hybrid work setting.

Qualifications

• 5-8 years of experience in data engineering roles
• Hands-on with Microsoft Fabric, Data Factory pipelines, OneLake
• Experience migrating Azure Synapse to Fabric is a plus
• Strong SQL and data modeling skills, including Medallion Architecture

Responsibilities

• Design, develop, and maintain data pipelines in Microsoft Fabric
• Implement Medallion Architecture (Bronze/Silver/Gold) in OneLake
• Build and manage ETL/ELT processes from REST/SOAP APIs and databases
• Lead migration of Azure Synapse workloads to Microsoft Fabric
• Write and optimize SQL queries, procedures, and views
• Collaborate with BI developers to support Power BI reporting
• Monitor and optimize pipeline performance and cost
• Support light DevOps activities like CI/CD for pipelines

Skills

ETL/ELT engineering

SQL

Azure Fabric

Power BI

API integration

DevOps basics

Data profiling

Tools

Data Factory

OneLake

Git

Azure DevOps

Job description

AVEVA is creating software trusted by over 90% of leading industrial companies.

Job Title: Sr. Data Platform Engineer - Azure & Microsoft Fabric

Location: Mumbai

Employment Type: Full Time, regular, hybrid work arrangement

The Job

We are looking for a Senior Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions on Microsoft Fabric . This role is central to our ongoing migration from Azure Synapse Analytics to Microsoft Fabric , and you will play a key part in shaping our modern data platform built on the Medallion Architecture .

The ideal candidate combines strong ETL/ELT engineering skills with hands-on experience integrating diverse API sources, a solid understanding of downstream analytics needs (Power BI, data profiling, and analysis), and the ability to support light DevOps activities. The role is structured as approximately 90% data engineering and 10% DevOps , so while your primary focus will be building and optimizing data pipelines, you will also help with pipeline deployment, environment management, and release coordination.

Key Responsibilities

• Design, develop, and maintain robust data pipelines in Microsoft Fabric (Data Factory pipelines, Dataflows, Notebooks) to ingest, transform, and load data at scale.
• Implement and maintain a Medallion Architecture (Bronze, Silver, Gold layers) within OneLake , ensuring data quality, consistency, and reliability at each stage.
• Build and manage ETL/ELT processes to extract data from a variety of source systems, including REST/SOAP APIs , databases, files, and third-party services, landing data into Data Factory / OneLake.
• Lead and support the migration of existing Azure Synapse Analytics workloads (pipelines, dataflows, SQL pools) to Microsoft Fabric, ensuring minimal disruption and data integrity throughout.
• Write and optimize complex SQL queries, stored procedures, and views for data transformation, validation, and reporting.
• Perform data profiling and data quality assessments to identify anomalies, inconsistencies, and gaps in source and transformed data.
• Collaborate with BI developers and analysts to ensure data models support efficient Power BI reporting and dashboarding.
• Partner with business and technical stakeholders to gather requirements and translate them into scalable data engineering solutions.
• Monitor, troubleshoot, and optimize pipeline performance, ensuring reliability and cost efficiency.
• Support light DevOps activities (~10% of role) such as CI/CD deployment of pipelines, environment/version management in Azure DevOps or Git, and basic release coordination for Fabric artifacts.
• Document data flows, architecture decisions, and pipeline logic for maintainability and knowledge sharing.
• Apply data governance, security, and compliance best practices across the data platform.

Essential Requirements

• 5-8 years of experience in data engineering roles, with a strong ETL/ELT background.
• Hands-on experience with Microsoft Fabric , including Data Factory pipelines and OneLake .
• Solid, demonstrable experience with Azure Synapse Analytics - prior involvement in a Synapse-to-Fabric migration is a strong plus.
• Strong understanding and practical implementation experience of Medallion Architecture (Bronze/Silver/Gold layers).
• Advanced SQL skills - query optimization, stored procedures, complex joins, and performance tuning.
• Experience integrating and consuming APIs (REST/SOAP) as data sources within pipeline development.
• Working knowledge of Power BI - data modeling, DAX basics, and report/dashboard support.
• Experience with data profiling and data quality validation techniques.
• Familiarity with version control (Git) and basic CI/CD practices for data pipelines (e.g., Azure DevOps).
• Strong analytical skills with the ability to interpret data patterns and identify issues.
• Good understanding of data warehousing concepts, dimensional modelling, and data lake architectures.
• Excellent communication skills and ability to work with cross-functional teams.

Desired Skills

• Experience with Python or PySpark for data transformation in Fabric Notebooks.
• Exposure to Azure DevOps for pipeline deployment and orchestration beyond basic CI/CD.
• Knowledge of Microsoft Purview or other data governance/cataloging tools.
• Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer, Azure Data Engineer Associate).

IT at AVEVA

Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally.

We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectiv