Highlights
This role covers PHI/PII protection, platform architecture, dashboarding, and enabling AI tool integrations, with a strong focus on both data security and performance optimization. The Data Platform Engineer will support the Enterprise Data team in strengthening data security, governance, and AI-readiness across the Databricks Lakehouse.
Numbers & Facts
| Location | Seattle, Washington |
| Job Type | Contractor |
| Industry | Staffing/Employment Agencies |
| Company Size | 50 to 99 employees |
| Year Founded | 2009 |
| Website | http://www.widenet-consulting.com/ |
Description
Job Description:
Location: This position requires the candidate to work onsite in Seattle, WA, on Tuesdays and Wednesdays, with the rest of the week remote.
Role Summary
The Data Platform Engineer will support the Enterprise Data team in strengthening data security, governance, and AI-readiness across the Databricks Lakehouse. This role covers PHI/PII protection, platform architecture, dashboarding, and enabling AI tool integrations, with a strong focus on both data security and performance optimization.
Key Responsibilities
- Implement PHI/PII scanning using native Databricks features or custom-built solutions.
- Design and implement data security controls, including data masking and data minimization.
- Work with modern table formats (Delta, Iceberg, Uniform) and ensure interoperability between Databricks and Snowflake.
- Build Databricks dashboards to audit data usage and access by sensitivity and data classification.
- Manage MCP servers and RBAC (role-based access control) across the platform.
- Connect AI tools and external systems to the Databricks Lakehouse.
- Support Databricks Genie and enable EDP (enterprise data platform) for self-service use.
- Develop Databricks applications.
- Optimize Azure and Databricks access, including performance tuning and caching strategies, to support agentic AI applications.
Required Qualifications
- Experience with PHI/PII scanning and data security implementation (masking, minimization).
- Skilled in table formats such as Delta, Iceberg, and Uniform, with experience in Databricks-Snowflake interoperability.
- Experience managing MCP servers and RBAC.
- Experience connecting AI and external tools to a Databricks Lakehouse environment.
- Experience building Databricks dashboards and applications.
- Experience optimizing Azure/Databricks performance and caching, ideally for agentic AI workloads.
Preferred Qualifications
- Experience with Databricks Genie and enabling self-service data platforms.
Pay Range: $90.00 – $100.00 per hour, depending upon experience.
Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.
About Company
Whether you are a candidate looking for a new opportunity or an organization looking for talent, when you work with WideNet Consulting, you can be confident that you will receive an unequaled experience. As a leading technology consulting and recruitment firm, WideNet has built an outstanding reputation of consistently bringing together professionals, who are the best in their field, with exceptional opportunities at the finest, most dynamic companies.
Our strengths:We understand the challenges of business and organization management. Our team has helped departments and companies identify specific challenges and solutions, then built road maps to a smoother business model.
We know technology project management and assist on projects at ANY point in the process.
We build our dream team of Clients & Candidates carefully and purposefully, and then interact with them intensely and often. The journey ends with the perfect fusion of our Client's business objectives and our Candidate's expertise working together in perfect harmony.
We use our proprietary recruiting strategy and process, WideScreen™ to match Candidate expertise to Client needs and culture, consistently exceeding expectations. We work to deliver the right person for the need AND the company.
We conduct business with honesty, integrity, and dedication. We do what we say we're going to do. We follow-up and follow through until the best candidate is matched to the right opportunity.
We are not a volume shop. We are completely focused on creating the best possible fit between our Client's business objectives and our Candidate's expertise, every time.
We help our Clients match their technology solutions with current staff configurations, then provide the tools, experience and resources to develop targeted Information Technology initiatives that improve productivity and enhance systems management.
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