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Lead Data Architect - Remote

Jobs via Dice
Department:HR
Type:REMOTE
Region:San Antonio, TX
Location:San Antonio, TX
Experience:Mid-Senior level
Estimated Salary:$130,000 - $160,000
Skills:
DATABRICKSLAKEHOUSEDATA ARCHITECTUREMEDALLION ARCHITECTUREDATA GOVERNANCEDATA PROFILINGDATA QUALITYCLOUD DATA PLATFORMS
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Job Description

Posted on: June 19, 2026

RESPONSIBILITIES: Kforce has a client in San Antonio, TX that is seeking a Databricks Lakehouse Architect to lead the design and implementation of a modern data platform. This role will drive end-to-end architecture, establish scalable data patterns, and create a repeatable onboarding framework for future data domains and legacy system migrations. Responsibilities:

  • Design and implement a reference proof-of-concept pipeline using HR data as the initial domain
  • Perform data profiling and quality assessments to identify gaps, anomalies, and remediation requirements
  • Define reusable architectural patterns, templates, and best practices to support future domain onboarding
  • Develop a standardized onboarding playbook for migrating legacy data systems to Databricks
  • Produce architecture blueprints and technical documentation
  • Lead knowledge transfer sessions with technical and business stakeholders
  • Present executive-level readouts, including roadmap recommendations and next-phase guidance

Lead end-to-end architecture design for a Databricks Lakehouse environment, including:

  • Medallion (Bronze/Silver/Gold) data layer strategy
  • Security, governance, and access control frameworks

Conduct discovery and current-state assessments of HR and succession planning data systems, including:

  • Data inventory and lineage
  • Data quality, dependencies, and integration points

REQUIREMENTS:

  • Strong experience designing and implementing Databricks Lakehouse architectures
  • Hands-on expertise with medallion data modeling (Bronze/Silver/Gold)
  • Experience with data governance, security, and access controls in cloud data platforms
  • Proven ability to conduct data discovery, profiling, and quality assessments
  • Experience building proof-of-concept data pipelines and reference architectures
  • Strong communication skills with the ability to present to both technical and executive audiences

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

Originally posted on LinkedIn

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