Sr. Databricks Architect

Dallas, TX, US • Posted 14 hours ago • Updated 2 hours ago
Full Time
75% Travel Required
On-site
Fitment

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Job Details

Skills

  • ETL
  • pyspark
  • Spark
  • Cloud
  • databricks

Summary

Job Title: Senior Databricks Architect

Domain: Financial Services

Location: Dallas, TX

Job Summary:

We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems.

Key Responsibilities:

  • Architect and implement end-to-end data solutions using Databricks Lakehouse Platform
  • Design and develop scalable data pipelines using PySpark, Spark, and SQL
  • Lead cloud data platform implementations on AWS/Azure/Google Cloud Platform
  • Drive modernization of legacy data systems to cloud-native architectures
  • Implement Medallion Architecture (Bronze, Silver, Gold layers)
  • Ensure data governance, security, and compliance (especially for Financial Services)
  • Collaborate with business stakeholders, data scientists, and engineering teams
  • Optimize performance, cost, and reliability of data pipelines
  • Mentor and guide data engineering teams and provide architectural leadership

Required Skills & Qualifications:

  • 12+ years of experience in Data Engineering / Data Architecture
  • Strong expertise in Databricks, PySpark, and Spark ecosystem
  • Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud Platform)
  • Experience with data orchestration tools (Airflow, ADF, etc.)
  • Solid understanding of data modeling, ETL/ELT, and distributed systems
  • Experience with Delta Lake and Unity Catalog is a plus
  • Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets)
  • Excellent problem-solving and stakeholder management skills

Preferred Qualifications:

  • Databricks certifications
  • Experience with real-time data processing (Kafka, streaming)
  • Exposure to AI/ML pipelines and MLOps
  • Knowledge of regulatory and compliance frameworks in Financial Services
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90969158
  • Position Id: 2026-4903
  • Posted 14 hours ago
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