Databricks Platform Architecture

AT&T

Confirmed live yesterday High trust
Closes in 5 days

Quick summary

Work type
On-site
Location
Alpharetta, GAPlano, TX
Salary
$155,400–$261,100 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Oct 16, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $208k
$143k $274k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $161,187–$250,500 — the blue band above. At the midpoint, this role pays about $208k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 98 open roles on FindRole.

Listed pay typically runs $100,000–$206,000 across 93 roles with salary data.

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At a glance

TL;DR · Databricks Platform Architecture

The Databricks Platform Architecture role sits within the Data Science team, where you will provide hands-on architecture and technical leadership for the enterprise Databricks platform across Azure and AWS. You will design, implement, and optimize secure, scalable, and cost-effective capabilities supporting data engineering, analytics, and AI/ML workloads. Daily responsibilities include configuring platform services, establishing governance via Unity Catalog, and managing Azure Data Lake Storage. You will utilize technologies including Delta Lake, Databricks SQL, Genie, Lakebase, and serverless services. Key skills involve infrastructure as code, APIs, automation, CI/CD, Python, and SQL. This role solves complex technical problems by defining platform standards, managing identity integration, and ensuring performance tuning to support large-scale data-driven decisions and generative AI solutions within a complex cloud environment.

What you'll do

  • Define the enterprise Databricks architecture, platform standards, and technical roadmap across Azure and AWS.
  • Design and administer Databricks accounts, workspaces, compute, SQL warehouses, and serverless capabilities.
  • Establish governance using Unity Catalog to manage permissions, data access patterns, and lineage.
  • Architect and administer Azure Data Lake Storage including access controls and lifecycle management.
  • Implement and support Databricks products like Delta Lake, workflow orchestration, and AI/ML capabilities.
  • Lead hands-on troubleshooting and performance tuning while establishing compute policies and cost-optimization practices.
  • Develop repeatable platform provisioning through infrastructure as code, APIs, automation, and CI/CD.

What we're looking for

  • Related experience including substantial hands-on experience architecting and administering production Databricks environments.
  • Deep hands-on production experience with Databricks platform architecture and administration across Azure and AWS.
  • Strong Unity Catalog expertise and practical experience administering Azure Data Lake Storage, permissions, and secure platform connectivity.
  • Hands-on experience implementing and operating Databricks serverless capabilities, tuning workloads, and managing consumption and cost.
  • Practical implementation experience with Databricks Genie and Lakebase, supported by knowledge of data engineering, SQL analytics, and AI/ML.
  • Experience with infrastructure as code, CI/CD, Databricks APIs, and Python/SQL.
  • Master’s degree in Computer Science or a related field (preferred).
  • Relevant Databricks and Azure/AWS certifications (preferred).

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