Senior Databricks Architect

Qode•Arlington, TX

About The Position

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.

Requirements

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

Nice To Haves

Experience with Delta Lake and Unity Catalog is a plus
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

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/GCP
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

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