Description

You will own the design and implementation of end-to-end data and analytics solutions.

Responsibilities

• Engage stakeholders to gather, analyze, and document business and data requirements, translating them into technical specifications.
• Design data flows, integration patterns, ELT/ETL pipelines, and data models using Azure Data Platform and Delta Lake.
• Produce cloud architecture diagrams, ensuring alignment with standards for scalability, performance, and security.
• Translate architectural designs into actionable tasks, providing architectural oversight during development.
• Define and enforce best practices for data quality, lineage, metadata, and operational monitoring.

Required Skills

• 5+ years of experience in data solution architecture or senior data engineering roles.
• Strong expertise with Azure Data Platform (ADF, ADLS Gen2, Synapse Analytics, Azure Functions, Key Vault).
• Hands-on experience with Databricks (DBX) including Delta Lake, clusters, and CI/CD.
• Proficiency with Apache Spark (PySpark/Scala).
• Proven ability to design secure, scalable, and high-performance cloud data architectures.
• Strong knowledge of ETL/ELT, data modeling, integration patterns, and data governance.
• Experience guiding delivery teams and writing user stories in an Agile environment.
• Bachelor’s or Master’s degree in a relevant technical field.

Key Skills

Education

Bachelor's or Master's degrees