Senior Azure Data Engineer

The Senior Azure Data Engineer role is focused on building and maintaining the scalable data foundation that powers enterprise reporting, analytics, and business decision-making across the organization.

At a high level, this person will serve as the bridge between raw operational data and trusted business insights-ensuring data from multiple systems is centralized, standardized, validated, and delivered in a way that supports reliable reporting and long-term scalability.

This is not simply a pipeline-development role - it is a strategic data engineering position focused on creating a governed, analytics-ready data environment that enables consistency, transparency, and trust across the business. The role will play a key part in improving data quality, reducing reporting issues, and supporting a modern enterprise data platform built around Microsoft Fabric and Azure technologies., Data Engineering & Pipelines

• Design, build, and maintain scalable, reliable data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Warehouses, Notebooks).
• Ingest data from diverse sources (databases, APIs, files, SaaS platforms) into centralized data platforms.
• Implement efficient batch and incremental data processing patterns.
• Monitor, troubleshoot, and optimize pipeline performance, reliability, and cost.

Data Transformation & Standardization

• Cleanse, transform, and standardize data across multiple systems to establish consistent definitions and metrics.
• Engineer curated, analytics-ready datasets for reporting, dashboards, and downstream analytics tools.
• Apply data modeling best practices to support enterprise reporting and self-service analytics.

Data Quality & Validation

• Implement data validation, reconciliation, and quality checks to ensure accuracy, completeness, and reliability.
• Partner with analytics and business teams to define and enforce data quality rules.
• Proactively identify and remediate data issues before they impact reporting.

Data Governance & Metadata

• Manage and mitigate schema drift across pipelines and datasets.
• Build and maintain data catalogs, including business-friendly metadata, descriptions, and ownership.
• Enable and maintain data lineage to provide transparency into data sources, transformations, and downstream consumption.
• Support governance initiatives related to data standards, auditability, and compliance.

Collaboration & Enablement

• Collaborate with IT, BI developers, analysts, and stakeholders to align system knowledge and data requirements with scalable, enterprise-grade solutions.
• Contribute to data engineering best practices, standards, and documentation.

• 5+ years of experience as a Data Engineer or in a similar role.
• Strong experience with Azure data services, with hands-on expertise in Microsoft Fabric.
• Familiarity with medallion (bronze/silver/gold) data architecture patterns.
• Proven experience designing and maintaining end-to-end data pipelines.
• Solid SQL and Python skills and experience with data transformation and modeling.
• Experience handling schema evolution and schema drift.
• Hands-on experience with data quality validation and reconciliation processes.
• Demonstrated experience in data governance concepts such as cataloging, metadata, and lineage.
• Strong problem-solving skills and attention to detail.
• Experience with CI/CD, version control, and infrastructure-as-code in data platforms.
• Knowledge of data security, access controls, and compliance requirements.
• Experience working in an Agile or DevOps environment.

What Success Looks Like

• Reliable, well-documented pipelines delivering trusted, standardized data.
• Clear visibility into data lineage, ownership, and quality.
• Reduced data issues impacting reporting and analytics.
• A scalable, governed data platform that supports current and future business needs.