# Senior Databricks Architect

**Company:** [Qode](http://jobs.workable.com/companies/d9Gs4Q7pnWjZVXU2mK6CGd.md)
**Location:** Texas, United States
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/1cdbbd67-3cef-44d5-a373-3cd91a14b002)

## Description

**Job Title: Senior Databricks Architect**

**Domain : Financial Services**

  

**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/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.

  

**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 GCP)
-   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