Databricks Technical Lead

Posted Yesterday
Be an Early Applicant
Dallas, TX, USA
In-Office
Entry level
Cloud • Analytics • Consulting
The Role
Designs end-to-end Databricks Lakehouse architectures, scalable ETL/ELT pipelines, and batch or real-time data processing solutions. Uses Spark, Delta Lake, Unity Catalog, SQL, and cloud services to optimize performance, cost, governance, and security. Translates business needs into technical solutions, integrates enterprise systems, and provides technical leadership and mentoring to data engineering teams.
Summary Generated by Built In
Key Responsibilities
  • Design and implement end-to-end data architecture using Databricks Lakehouse platform
  • Define data engineering best practices and build scalable ETL/ELT pipelines
  • Architect solutions leveraging Apache Spark (PySpark/Scala) and Databricks workflows
  • Implement Delta Lake for data reliability, performance, and governance
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Optimize performance, cost, and scalability of data pipelines
  • Provide technical leadership, mentoring data engineers and developers
  • Ensure data security, governance, and compliance standards are met
  • Integrate Databricks with cloud services (Azure, AWS, or GCP) and other enterprise systems
  • Support real-time and batch data processing use cases
Required Skills & QualificationsTechnical Skills
  • Strong hands-on experience with Databricks Platform
  • Expertise in Apache Spark (PySpark / Scala / SQL)
  • Experience with Delta Lake, Unity Catalog, and Lakehouse architecture
  • Proficiency in data pipelines, ETL/ELT frameworks
  • Strong experience in SQL and data modeling
  • Hands-on experience with cloud platforms:
    • Azure (ADF, ADLS, Synapse) OR
    • AWS (S3, Glue, EMR) OR

Skills Required

  • Strong hands-on experience with the Databricks Platform
  • Expertise in Apache Spark, PySpark, Scala, or SQL
  • Experience with Delta Lake, Unity Catalog, and Lakehouse architecture
  • Proficiency in data pipelines and ETL/ELT frameworks
  • Strong experience in SQL and data modeling
  • Hands-on experience with Azure, AWS, or GCP cloud platforms
  • Azure experience with ADF, ADLS, or Synapse; alternatively AWS experience with S3, Glue, or EMR
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Addison, TX
568 Employees
Year Founded: 2004

What We Do

Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.

Similar Jobs

Graphcore Logo Graphcore

Staff Engineer

Artificial Intelligence • Semiconductor
Hybrid
2 Locations
903 Employees

2K Logo 2K

Staff Software Engineer

Gaming • Information Technology • Mobile • Software • Esports
Hybrid
Austin, TX, USA
4200 Employees

Wells Fargo Logo Wells Fargo

Infrastructure Engineer

Fintech • Financial Services
Hybrid
Irving, TX, USA
205000 Employees

Wells Fargo Logo Wells Fargo

Personal Banker Southwest Pkwy

Fintech • Financial Services
Hybrid
Wichita Falls, TX, USA
205000 Employees

Similar Companies Hiring

Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Milestone Systems Thumbnail
Artificial Intelligence • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account