Sr Databricks Data Engineer

Join Deloitte's Core AI & Data practice in Seattle for a senior Databricks data engineering role focused on designing and delivering cloud-based data solutions that enable analytics and AI at scale. This onsite opportunity offers collaboration across business and technology teams, the chance to drive enterprise data platforms, and meaningful work with leading data technologies. Travel up to 50 percent based on client engagements. Salary range: USD 137,500 to 193,600 per year.

Benefits

• Discretionary annual incentive program
• Core Talent Model benefits package
• Reasonable accommodations for people with disabilities

Responsibilities

• Promote best practices for data architecture, integration, and modeling; document and evangelize these approaches
• Own the design, development, and maintenance of robust data pipelines and architectures that support enterprise-scale data needs
• Drive data quality, operational efficiency, and process scalability through proactive initiatives
• Lead, pilot, and integrate new big data and analytics technologies to keep the organization at the forefront
• Mentor and develop teams of data engineers and architects to support effective project delivery
• Consult on data governance, security, and compliance strategies for modern cloud data ecosystems
• Communicate technical concepts and business value to executives, business leads, and technology teams
• Oversee CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations
• Provide clear guidance to others to support project success

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of hands-on data engineering experience with a focus on Databricks on AWS, Azure, or Google Cloud Platform
• Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
• Experience with data warehousing, 3NF, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
• 1+ year leading complex, cross-functional data projects and technical teams, including Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of data pipelines, code, and compute resources
• Ability to travel 50 percent, depending on client work
• Limited immigration sponsorship may be available
• Master's degree in Computer Science, Engineering, or a related field
• Experience in one or more cloud ecosystems (AWS, Azure, GCP) and related big data services
• Experience tuning and optimizing performance in Databricks and Apache Spark environments
• Experience with Databricks Lakeflow
• Experience with artificial intelligence and machine learning solutions

Technologies

• Databricks, Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Unity Catalog
• Apache Airflow, Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
• PySpark, Apache Spark, Databricks Lakeflow
• AWS, Azure, Google Cloud Platform (GCP)

The Team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team collaborates with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, drive innovation, and support large-scale transformation. Practitioners work across business and technology functions to address complex challenges in data modernization.