
Senior Data Architect
6 days ago
About the Role
We are seeking an experienced Senior Data Engineer to lead the design and implementation of scalable, secure, and high-performance data platforms using Microsoft Fabric technologies including OneLake, Synapse, Data Factory, and Power BI.
Key Responsibilities
- Architect and lead the development of modern data platforms using Microsoft Fabric components like OneLake, Data Factory, Dataflows, and Synapse Data Engineering.
- Define and implement best practices in data modeling (Lakehouse, star/snowflake schemas), performance tuning, and pipeline orchestration.
- Build and optimize large-scale ETL/ELT processes using Spark, SQL, and Data Factory pipelines.
- Collaborate with cross-functional teams including analytics, product, and IT to gather requirements and deliver impactful data solutions.
- Implement enterprise data governance, data lineage, and metadata management strategies.
- Develop and enforce CI/CD practices for data pipeline deployment.
- Mentor junior data engineers and contribute to the development of engineering standards and frameworks.
- Stay current with Microsoft Fabric innovations and lead adoption of new tools, features, and architectures across the data team.
- Ensure compliance with data security policies, privacy laws, and regulatory requirements.
Requirements
- 5+ years of experience in data engineering, with at least 2+ years using Microsoft Fabric.
- Expert-level skills in SQL, PySpark, and data wrangling at scale.
- Deep experience with Microsoft Azure services: Synapse, Data Factory, ADLS, Azure SQL, and Power BI.
- Strong knowledge of Lakehouse architecture and working with OneLake or Delta Lake.
- Experience managing enterprise-scale data systems and mission-critical production environments.
- Hands-on knowledge of data governance, lineage (e.g., Purview), and cataloging tools.
- Strong understanding of modern data architecture principles, including event-driven data ingestion, real-time processing, and batch workflows.
- Minimum bachelor's degree in computer science or any other relevant degree.
- Exceptional communication skills.
Preferred Qualifications
- Microsoft Certified: Fabric-specific certifications.
- Experience in highly regulated environments.
- Familiarity with AI/ML integration and serving models via data pipelines.
- Leadership experience in Agile or Scrum-based teams.
Job Requirements
This is a mid-senior level position that requires a strong background in data engineering, with expertise in Microsoft Fabric technologies. The ideal candidate will have a deep understanding of data governance, lineage, and cataloging tools, as well as hands-on experience with enterprise-scale data systems and mission-critical production environments.
What We Offer
As a Senior Data Engineer, you will have the opportunity to work on a variety of exciting projects, collaborating with cross-functional teams to deliver impactful data solutions. You will also have the chance to mentor junior data engineers and contribute to the development of engineering standards and frameworks.
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