Databricks Data Engineer - Consultant
- Data platform delivery: Design, develop, test, and maintain scalable data pipelines and data products on Databricks to support enterprise analytics and reporting needs.
- Lakehouse Engineering: Implement Databricks Lakehouse solutions using Apache Spark and Delta Lake, delivering batch/streaming pipelines with Delta Live Tables, Autoloader, Structured Streaming, Workflows, and orchestration (e.g., Apache Airflow).
- Data Modeling: Build curated, governed data products by applying metadata-driven ingestion, PySpark incremental loads, and data quality frameworks, plus 3NF/dimensional modeling and Unity Catalog-based security/compliance controls.
- Governance & security: Support implementation of governance, security, and compliance controls in cloud data ecosystems, including Unity Catalog and fine-grained access controls.
- Performance optimization: Monitor and tune jobs, code, clusters, and pipeline designs to improve reliability, throughput, and cost efficiency.
- DevOps & automation: Implement and maintain CI/CD practices for data engineering deployments using tools such as Azure DevOps, AWS CodePipeline, Jenkins, TFS, or PowerShell.
- Communication: Clearly explain technical tradeoffs, implementation choices, and business value to technical teams and non-technical stakeholders; contribute to project plans, status updates, and client-facing deliverables.
- Best practices contribution: Contribute to documentation and reusable patterns for data architecture, integration, modeling, and engineering standards.
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
- 2+ years of hands-on experience in data engineering with a strong focus on Databricks, deployed on any major cloud (AWS, Azure, GCP).
- Minimum of 2 years Technical Proficiency:
- Databricks and cloud-native storage/compute and distributed processing platforms
- Lakehouse architecture , Apache Spark , Delta Lake
- Data warehousing and implementation experience with 3NF , dimensional modeling , and enterprise data lakes
- Databricks components: Delta Live Tables , Autoloader , Structured Streaming , Databricks Workflows , and orchestration.
- Incremental data loads; building metadata-driven ingestion and data quality frameworks using PySpark
- Unity Catalog and fine-grained security/access control
- Proven track record deploying solutions through automated CI/CD pipelines .
- Experience with performance optimization of pipelines, code, and compute resources.
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Strong knowledge of one or more cloud ecosystems: AWS , Azure , GCP cloud ecosystems and associated big data stacks is strongly preferred.
- Experience supporting or enabling AI/ML use cases.
- Databricks certifications
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [email protected].
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Benefits
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Our people and culture
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Our purpose
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Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition code: 325416
Job ID 325416
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