Data Engineer- Azure Databricks

Title: Data Engineer - Azure Databricks

Location: Bellevue, WA (On-site)

Job Description

• Strong hands-on experience designing and developing enterprise-scale data engineering solutions.
• Hands-on experience with Databricks and Apache Spark for large-scale data processing.
• Strong experience with Microsoft Azure data platforms and services.
• Hands-on experience designing and working with Delta Lake architectures.
• Hands-on experience with Microsoft Fabric and/or modern Microsoft analytics environments.
• Strong SQL skills.
• Hands-on experience designing and supporting ETL/ELT pipelines across multiple enterprise data sources.
• Experience working with structured, semi-structured, and distributed datasets.
• Understanding of modern data architecture, data modeling, data quality, and data integration patterns.
• Experience supporting analytical and reporting solutions, including Power BI.
• Ability to evaluate technical alternatives and make recommendations based on business requirements, scalability, maintainability, performance, and cost.
• Demonstrated ability to translate business objectives into technical requirements and implementation plans.
• Strong interpersonal skills and demonstrated ability to work effectively as part of a collaborative team.

Preferred Skills

• Experience supporting enterprise data environments spanning multiple business functions.
• Experience with complex cloud-based data ecosystems.
• Knowledge of data governance, security, lineage, and data quality practices.
• Experience optimizing Spark and Databricks workloads.
• Experience developing data products or reusable enterprise data assets.
• Familiarity with DevOps, CI/CD, and deployment automation.
• Strong people skills, team orientation, and professional judgment.
• Demonstrated ability to build productive working relationships and collaborate across teams.
• Excellent written and verbal communication skills.
• Ability to communicate effectively with senior leaders as well as deeply technical teams.
• Strong analytical and consultative problem-solving skills.

Job Responsibilities

• Partner directly with business stakeholders and leadership to understand strategic, analytical, and operational data needs.
• Translate business goals and high-level requirements into detailed technical requirements, data solutions, and implementation approaches.
• Design, build, test, and maintain scalable data pipelines using Azure, Databricks, Spark, and Delta Lake.
• Develop data architectures that support enterprise analytics, reporting, and operational use cases.
• Design and optimize data transformations, ingestion processes, and data-processing workflows.
• Support Microsoft Fabric and Power BI solutions.
• Analyze existing pipelines and architectures to identify opportunities to improve reliability, performance, scalability, and cost.
• Troubleshoot complex data integration, transformation, and performance issues.
• Work collaboratively with data scientists, analysts, architects, application teams, engineers, and business partners.
• Share knowledge, communicate openly, and contribute positively to team problem-solving and decision-making.
• Recommend technical approaches rather than relying solely on prescriptive requirements from stakeholders.
• Communicate technical designs, risks, tradeoffs, and recommendations clearly to both technical and non-technical audiences.
• Contribute to engineering standards, reusable patterns, documentation, monitoring, and data governance practices.