Live opening · Posted 2 days ago
The key details from the original listing.
Description supplied by the original job listing.
As a Senior Data Engineer in the GDC Marketing Services team at VML, 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.
What will you do?
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 the 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.
What will you need?
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 linking 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.
Soft Skills
Strong ownership and accountability for platform reliability, with a proactive approach to identifying and resolving data issues.
Ability to translate business and reporting requirements from marketing and sales stakeholders into clear technical designs.
Clear written and verbal communication, including explaining complex technical concepts to non-technical audiences.
Strong analytical problem-solving and root-cause analysis skills within complex, multi-source data environments.
Commitment to engineering excellence, documentation, and knowledge sharing across the global team.
Mentorship mindset with the ability to coach analysts and junior engineers through code reviews and pairing.
Effective collaboration across distributed, cross-functional teams and time zones, including the Buenos Aires and Delhi hubs.
Ability to prioritize and manage multiple concurrent engineering deliverables in a fast-paced environment.
Continuous learning mindset with curiosity for evolving Microsoft Fabric, Azure, and AI capabilities.
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.
Work arrangement
No
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