Sr. Data Engineer

About the role

We are seeking a hands‑on Data Architect to personally design, build, and operationalize our enterprise data platform. This is an individual‑contributor role for someone who can define strategy and execute it directly in a lean environment. Our organization is 100% cloud‑based and Microsoft‑centric, operating across a diverse portfolio of vendor‑hosted applications. This role will unify those disparate data sources using Azure, Microsoft Fabric, Power Platform, Dataverse, and Azure SQL, laying the foundation for governed analytics, self‑service reporting, and future AI initiatives. Strong candidates will have a practical mix of data engineering, analytics, and business application experience, with comfort working across both Microsoft/Azure tools and other modern data platforms. This position is ideal for a pragmatic architect who prefers owning outcomes end‑to‑end, rather than operating only at the conceptual or oversight level.

Responsibilities

• Design and personally implement core components of the enterprise data architecture using Microsoft Fabric (Lakehouse, Warehouse, OneLake) and Azure data services.
• Build and maintain data ingestion and transformation pipelines, integrating data from multiple SaaS and vendor-hosted systems.
• Develop enterprise data models (conceptual, logical, physical) that directly support reporting and operational use cases.
• Enable analytics, build reports, and self‑service reporting through Power BI, Power Platform, and Dataverse.
• Strong SQL skills, including data modeling, transformations, query optimization, and troubleshooting.
• Experience building reliable data pipelines using Python, APIs, cloud storage, and modern data integration tools.
• Familiarity with cloud data platforms such as Snowflake, Databricks, Azure SQL / Synapse / Fabric, BigQuery, Redshift, or similar environments.
• Experience working with structured and semi-structured data sources, including REST APIs, JSON, CSV, Excel, databases, and SaaS exports.
• Familiarity with data transformation, orchestration, and integration tools such as dbt, Airbyte, Fivetran, Dagster, Airflow, GitHub Actions, or similar platforms.
• Experience with Git-based development workflows and basic software engineering practices.
• Interest in AI-enabled analytics, automation, and internal tools, including