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Closed on August 18, 2026.
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Sr Databricks Data Engineer
Big Data
Data Architecture
Data Engineer
Data Governance
Data Lake
Data Pipeline
Data Platform
Data Security
Data Warehouse
Database
Databases
Databricks
Databricks Workflows
Spark
Technical Lead
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Job Description
At Deloitte, the Sr Databricks Data Engineer designs and optimizes cloud-based data pipelines on Databricks to modernize data platforms and empower analytics and AI across the enterprise. This onsite role in Morristown, NJ offers a competitive salary range of USD 116,200 to 229,100 per year and a mandate to lead cross-functional data initiatives that elevate data-driven decision making.
Responsibilities
- Define and promote best-in-class approaches for data architecture, integration, and modeling.
- Lead the design, development, and maintenance of scalable data pipelines and architectures that support large-scale enterprise data needs.
- Drive improvements in data quality, operational efficiency, and process scalability through focused initiatives.
- Assess, pilot, and integrate new big data and analytics technologies; mentor and develop data engineers and architects to ensure strong project delivery.
- Advise on and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.
- Translate technical concepts and business value for 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.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of hands-on data engineering experience focused on Databricks across AWS, Azure, or Google Cloud Platform (GCP).
- Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases and storage, 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 optimization of data pipelines, code, and compute resources.
- Ability to travel 50% on average based on client engagements.
- Limited immigration sponsorship may be available.
Technologies
- Databricks
- AWS
- Azure
- Google Cloud Platform (GCP)
- Delta Lake
- Apache Spark
- PySpark
- Delta Live Tables
- Autoloader
- Structured Streaming
- Databricks Workflows
- Apache Airflow
- Unity Catalog
- Databricks Lakeflow
- Azure DevOps
- AWS Code Pipeline
- Jenkins
- TFS
- PowerShell
Benefits
- Discretionary annual incentive program
Preferred
- Master's degree in Computer Science, Engineering, or a related field
- Experience in one or more cloud ecosystems (AWS, Azure, GCP) and associated 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
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