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Lead Data Architect | Databricks | Hybrid

ABOUT US

Davis Technology Management is a successful technology company in the IT staffing, Technology Consulting and IT Managed Services sector. Our focus is crafting technical and staffing solutions that empower businesses and foster growth. Our foundation is built on a commitment to our Core Values, and a team dedicated to bridging the gap between innovative IT solutions and businesses seeking to navigate the complexities of the digital age.

 

At the heart of everything we do, we’re dedicated to exceeding expectations and creating RAVING FANS both within our internal team and amongst our clients.

 

Lead Data Engineer | Databricks | Medallion

📍 Location: Phoenix, AZ (Hybrid – 2 days/week onsite required from Day 1)
🔒 Work Authorization: U.S. Citizen or Green Card holder required
💵 Salary: $140,000 - $150,000 + full benefits package

Position Summary

Davis Technology Management is seeking a Lead Data Engineer to join one of our long-term enterprise clients in Phoenix.

This is a full-time W2 consulting role onsite with a well-established 100+ year old company. This is not a fully remote position. You’ll collaborate closely with a team of 5 onsite, with a small offshore team for support. Their projects support a large portfolio of applications with varied tech stacks. This role requires strong communication and collaboration skills.

Key Responsibilities:

· Design and implement scalable data pipelines using Databricks aligned with Medallion Architecture (Bronze, Silver, Gold layers).

· Apply dimensional data modeling including Star, Snowflake, Galaxy schema etc. to develop business reports, dashboards, and advanced analytics.

· Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions.

· Ensure data quality, consistency, and reliability across all layers of the data architecture.

· Support Power BI and other analytics teams with well-structured data models and efficient query performance.

· Monitor, troubleshoot, and optimize Databricks jobs and workflows.

Required Skills:

· Experience as a Lead Data Architect

· Strong hands-on experience with Databricks, PySpark, and Delta Lake.

· Deep understanding of Medallion Architecture principles (Bronze–Silver–Gold design).

· Experience in data modeling for analytics and reporting use cases.

· Good understanding of ETL/ELT design, data governance, and performance tuning.

· Proficiency in SQL and familiarity with Azure Data Services (ADF, Data Lake, etc.).

Desirable Skills:

· Experience with Power BI report development or strong collaboration with BI teams.

· Familiarity with cloud data platforms (Azure, AWS, or GCP).

· Understanding of data security, lineage, and quality frameworks.

Education:

· Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.

📅Start Date: As soon as possible
🏢Work Schedule: Full-time, hybrid in Phoenix

Interview Format:

  • 30-minute AI-led voice interview

  • 30-minute virtual first round with VP of IT Talent Acquisition

  • 60-minute virtual with Hiring Manager

  • Final Round mandatory onsite to meet the team

Why We Use AI as the 1st Screening Step: We use AI as our first screening step to ensure a fair, consistent process for every applicant. In today’s market, hiring teams receive an overwhelming volume of unrelated or unqualified resumes, and this tool helps us quickly surface the candidates whose experience truly aligns with the role. It allows you to share your background in your own words without scheduling delays, and every submission is still reviewed by real people on our team. The AI simply helps us make sure nothing gets overlooked.

If you’re a Data Architect with Team Lead experience and ready to bring your experience to a highly collaborative, hybrid team, let’s connect!

This is a great opportunity to make an impact in a long-term role that provides stability and benefits.

Average salary estimate

$145000 / YEARLY (est.)
min
max
$140000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, hybrid
DATE POSTED
November 22, 2025
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