Senior Databricks Engineer

This Senior Databricks Engineer job is a 12-24 Months Contract with a client located in Plano, TX/ Charlotte, NC (Hybrid 4 Days onsite every week).

Pay Range: $68/hr - $70/hr on W2. The rate may be negotiable based on experience, education, geographic location, and other factors.

Job Description

We are seeking a Senior Databricks Engineer to join our Data Engineering team and support our enterprise data modernization initiatives. This role will work closely with Application Leads, Data Engineers, Architects, and business stakeholders to design, implement, optimize, and govern solutions on the Databricks Lakehouse Platform.

The ideal candidate will be a hands-on Databricks SME who can guide teams on implementation best practices, governance, security, performance optimization, cost management, and CI/CD enablement while supporting the migration of Oracle-based data warehouse workloads to Databricks.

Key Responsibilities

• Design and implement scalable data solutions using the Databricks Lakehouse Platform.
• Partner with Application Leads and Engineering teams to define implementation approaches and best practices.
• Optimize Databricks environments for performance, scalability, reliability, and cost efficiency.
• Implement and support Unity Catalog, data governance, lineage, and security controls.
• Design and manage data access controls.
• Implement Delta Sharing for secure internal and external data sharing.
• Support Oracle-to-Databricks modernization and migration initiatives.
• Establish and enhance CI/CD processes, deployment automation, and DevOps best practices.
• Design, build, and manage semantic data models and business layers to support Databricks SQL, AI/BI Dashboards, Genie, Power BI, and enterprise analytics.
• Develop standards, reusable patterns, and implementation guidance for application teams.

Required Skills Experience

• 5 years of Data Engineering experience.
• 3 years of hands-on Databricks implementation experience.
• Strong knowledge of Databricks Lakehouse Platform, Delta Lake, Unity Catalog, and Delta Sharing.
• Experience implementing RBAC, security, governance, and data lineage solutions.
• Proven experience with Databricks performance tuning and cost optimization.
• Experience implementing CI/CD pipelines using Git, Azure DevOps, GitHub, Jenkins, or similar tools.
• Experience supporting cloud-based data platforms (Azure, AWS, or GCP).
• Strong understanding of data warehousing concepts and modern data architectures.
• Excellent communication and stakeholder collaboration skills.

Soft Skills

• Strong problem-solving and analytical skills.
• Ability to influence and guide technical teams through expertise and collaboration.
• Passion for mentoring teams and promoting engineering best practices.
• Self-motivated with a continuous improvement mindset.
• Strong teamwork and communication skills.

Focus Areas: Databricks Platform, Governance, Delta Sharing, CI/CD, Cost Optimization, Analytics Enablement, and Oracle Modernization.

Preferred Skills

• Experience supporting Oracle to Databricks migration and modernization programs.
• Familiarity with Informatica PowerCenter and/or Informatica IDMC environments.
• Experience with Databricks Genie, AI/BI Dashboards, and Databricks SQL.
• Experience integrating Databricks with Power BI.
• Knowledge of Databricks Workflows, Auto Loader, Delta Live Tables (DLT), Lakeflow, and MLflow.
• Experience with Infrastructure as Code tools such as Terraform.
• Databricks certifications are a plus.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance