Senior Data Engineer – MS Fabrics and Azure

Role Summary 
As a Senior Data Engineer, you will design, build and own end-to-end data engineering solutions on Microsoft 
Fabric and Azure that power marketing, sales and website performance reporting for Microsoft across Asia, 
EMEA and the Americas. You will architect OneLake-based Lakehouse and Warehouse solutions following a 
medallion (bronze, silver, gold) pattern to deliver curated, analytics-ready datasets, and lead the migration of 
legacy SQL Server, SSIS and SSAS workloads to Microsoft Fabric with minimal disruption to business reporting. 
Working across our Delhi and Buenos Aires hubs, you will act as the technical lead and mentor for data 
engineering across the global team.

Rotational Shift (6:30 Am – 3:30 Pm/12:30 Pm – 9:30 Pm)

Qualifications & Experience 
• 5+ years of hands-on data engineering experience, including at least 3 years building solutions on Microsoft 
Azure and/or Microsoft Fabric. 
• Proven experience designing and delivering production-grade data pipelines and Lakehouse/Warehouse 
solutions on the Microsoft data stack. 
• Strong proficiency in SQL and Python (PySpark) for data engineering at enterprise scale. 
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical 
discipline. 
• Experience applying data privacy and compliance requirements such as GDPR, PII handling, and Microsoft 
data handling standards. 
• Strong English written and verbal communication skills. 
• Experience working within enterprise environments supporting global business and technical stakeholders. 
• Demonstrated experience mentoring engineers and leading technical delivery. 
• Ability to work independently while collaborating effectively across diverse technical and business teams.

Key Responsibilities 
• Design, build, and own end-to-end data engineering solutions on Microsoft Fabric and Azure that power 
marketing, sales, and website performance reporting across Asia, EMEA, and Americas. 
• Architect OneLake-based Lakehouse and Warehouse solutions following a medallion (bronze, silver, gold) 
pattern on Delta tables to deliver curated, analytics-ready datasets. 
• Develop and orchestrate scalable batch and incremental ingestion pipelines using Fabric Data Factory, 
Dataflows Gen2, Spark notebooks, and Azure Data Factory. 
• Integrate marketing and sales data sources including Adobe Analytics, Dynamics 365/Dataverse, marketing 
automation platforms, SQL Server, SharePoint, and third-party REST APIs into a unified data platform. 
• Build and optimize Direct Lake, Import, and composite semantic models in partnership with BI developers 
to support the Power BI dashboard portfolio. 
• Lead the migration of legacy SQL Server, SSIS, and SSAS workloads to Microsoft Fabric with minimal 
disruption to business reporting. 
• Implement automated data quality checks, validation rules, and reconciliation controls to safeguard data 
accuracy across all pipelines. 
• Monitor, troubleshoot, and tune pipeline performance, workloads, and Fabric capacity consumption to 
ensure reliability and cost efficiency. 
• Enforce data security, privacy, and governance standards including access controls, PII handling, sensitivity 
labels, and lineage through Microsoft Purview. 
• Define and maintain engineering standards, reusable frameworks, data contracts, and technical 
documentation for the data platform. 
• Mentor analysts and junior engineers, conduct code reviews, and act as the technical point of contact for 
data engineering across the global team. 
• Partner with Microsoft stakeholders, BI leads, and platform teams to translate reporting requirements into 
scalable data architecture and delivery roadmaps.

Technical Skills 
Microsoft Fabric 
• Expert hands-on experience with Microsoft Fabric including OneLake, Lakehouse, Warehouse, Data Factory 
pipelines, Dataflows Gen2, and notebooks. 
• Experience with OneLake shortcuts and Fabric Mirroring to integrate data from Azure SQL, ADLS Gen2, 
Dataverse, and other sources without duplication. 
• Experience with Fabric capacity management, Capacity Metrics monitoring, workload governance, and 
workspace administration. 
• Proficiency with Fabric deployment pipelines and Git integration for source-controlled, multi-environment 
releases. 
Azure Data Platform 
• Strong experience with Azure Data Factory and/or Azure Synapse Analytics pipelines, including 
parameterization, triggers, and integration runtimes. 
• Solid knowledge of Azure Data Lake Storage Gen2, storage design, and file formats such as Parquet, Delta, 
CSV, and JSON. 
SQL & Data Modeling 
• Advanced T-SQL expertise on SQL Server, Azure SQL, and Fabric Warehouse including stored procedures, 
query tuning, and indexing strategies. 
• Experience with SSIS packages and SSAS tabular models, including migration of these legacy workloads to 
Microsoft Fabric. 
• Strong dimensional modeling skills including star schema design, slowly changing dimensions, and fact table 
design optimized for Power BI consumption. 
Power BI 
• Experience designing Power BI semantic models in Direct Lake, Import, and composite modes, including 
row-level security and working knowledge of DAX. 
Source Integrations 
• Experience ingesting Adobe Analytics data via Data Feeds and APIs and modeling web and campaign 
performance data. 
• Experience integrating Dynamics 365 and Dataverse data, including Link to Microsoft Fabric, for sales 
pipeline and CRM reporting. 
Security & Governance 
• Strong understanding of Azure security including Microsoft Entra ID, managed identities, service principals, 
Azure Key Vault, and role-based access control. 
• Experience with Microsoft Purview for data cataloging, lineage, classification, and sensitivity labels. 
Programming 
• Strong programming skills in Python and SQL, with working knowledge of KQL and PowerShell for querying 
and automation. 
Domain Knowledge 
• Understanding of marketing and sales data domains including campaign, web analytics, lead, and 
opportunity pipeline data.