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Databricks Platform Architect Jobs (NOW HIRING)

This role's primary focus is platform management-centered on building scalable infrastructure ... In-depth knowledge of Databricks architecture, including workspaces, clusters, storage, notebook ...

The role requires hands-on Databricks platform experience, strong cloud and data architecture fundamentals, and the ability to collaborate with client stakeholders, security teams, data engineers ...

Lead Databricks Platform Engineer

Boston, MA

$111K - $146K/yr

Lead and scale Databricks platform administration across enterprise workspaces and multi-cloud ... architecture * Own and improve identity and access management practices (least privilege, group ...

Lead and scale Databricks platform administration across enterprise workspaces and multi-cloud ... architecture * Own and improve identity and access management practices (least privilege, group ...

Lead and scale Databricks platform administration across enterprise workspaces and multi-cloud ... architecture * Own and improve identity and access management practices (least privilege, group ...

The role requires hands-on Databricks platform experience, strong cloud and data architecture fundamentals, and the ability to collaborate with client stakeholders, security teams, data engineers ...

Experience supporting Delta Lake, Delta Live Tables, MLflow, Lakehouse architecture, and Databricks SQL. * Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms.

New

Sr Databricks Platform Engineer

Atlanta, GA · On-site

$140K - $155K/yr

Architect and integrate autonomous AI agents and Model Context Protocol (MCP) servers for ... Databricks Platform Administrator Certification. * Databricks Certified Generative AI Engineer ...

New

$77K - $105K/yr

Our partner is looking for a Senior Databricks Platform Engineer based in United States. This role ... The environment offers significant technical ownership, collaboration with architecture and ...

New

Showing results 41-60

Databricks Platform Architect information

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$49

$76

$96

How much do databricks platform architect jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for databricks platform architect in the United States is $76.18, according to ZipRecruiter salary data. Most workers in this role earn between $68.99 and $85.10 per hour, depending on experience, location, and employer.

What is a Databricks Platform Architect?

A Databricks Platform Architect is a professional who designs, implements, and manages data analytics solutions using the Databricks platform. They are responsible for architecting scalable data pipelines, integrating Databricks with other systems, and ensuring best practices for data engineering, machine learning, and analytics workloads. These architects collaborate with data engineers, data scientists, and business stakeholders to translate business requirements into robust technical solutions that leverage Databricks' capabilities. Their expertise includes knowledge of cloud platforms, Spark, big data processing, and security best practices.

What are the key skills and qualifications needed to thrive as a Databricks Platform Architect?

To thrive as a Databricks Platform Architect, you need a deep understanding of data engineering, cloud architecture (especially AWS, Azure, or GCP), and proficiency in big data frameworks, typically backed by a computer science degree or equivalent experience. Expertise with Databricks, Apache Spark, SQL, Python, and certifications like Databricks Certified Data Engineer or Solutions Architect are highly valuable. Strong problem-solving, stakeholder communication, and project management skills help you design scalable solutions and guide cross-functional teams. These skills are crucial for building robust, high-performance data platforms that drive analytics and business insights across organizations.

What are some common challenges faced by Databricks Platform Architects when designing scalable data solutions?

Databricks Platform Architects often encounter challenges such as balancing the need for robust data security with ensuring seamless data accessibility across teams. They must also design scalable architectures that can handle fluctuating data volumes while optimizing for cost and performance. Additionally, integrating Databricks with existing legacy systems and ensuring smooth collaboration between data engineers, data scientists, and business stakeholders are frequent hurdles. Addressing these challenges typically requires in-depth knowledge of cloud environments, strong communication skills, and a proactive approach to cross-functional collaboration.

What is the difference between Databricks Platform Architect vs Data Engineer?

AspectDatabricks Platform ArchitectData Engineer
Primary FocusDesigning and implementing Databricks platform solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, cloud platform knowledge, architecture skillsSQL, ETL tools, programming, cloud data services
Work EnvironmentCloud environments, enterprise data platformsData pipelines, databases, cloud data warehouses
Employer & Industry UsageTech companies, enterprises using DatabricksOrganizations managing large-scale data processing

While both roles work within data ecosystems, the Databricks Platform Architect focuses on designing and optimizing Databricks platform solutions, whereas the Data Engineer concentrates on building data pipelines and infrastructure. The architect role requires more expertise in platform architecture and cloud integration, while the data engineer emphasizes data processing and pipeline development.

What cities are hiring for Databricks Platform Architect jobs?

Cities with the most Databricks Platform Architect job openings:

What states have the most Databricks Platform Architect jobs?

States with the most job openings for Databricks Platform Architect jobs include:

What are popular job titles related to Databricks Platform Architect jobs?

For Databricks Platform Architect jobs, the most frequently searched job titles are:

Infographic showing various Databricks Platform Architect job openings in the United States as of September 2026, with employment types broken down into 58% Full Time, 39% Part Time, and 3% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $158,464 per year, or $76.2 per hour.

Azure Databricks Platform Engineer

Berkeley Heights, NJ • Hybrid

$128K - $216K/yr

Full-time

Posted 17 days ago


Job description

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Azure Databricks Platform Engineer

What does a successful Azure Databricks Platform Engineer do at Fiserv?
A successful Azure Databricks Platform Engineer at Fiserv implements and manages cloud-native and hybrid data platform solutions that support client objectives within Government Services. This role drives Azure Databricks development, deployment, performance, resiliency and security activities while keeping project execution aligned with EFTPS program goals. Success in this role also means communicating effectively with clients, leadership and scrum teams, while supporting documentation and knowledge sharing that enables consistent delivery.

What you will do?

  • Provide expertise and ownership of Azure Databricks development tasks within the scrum team, translating software requirements into agile user stories and technical tasks that support client objectives.
  • Install, configure, maintain and administer Azure Databricks environments from the ground up, including deployments, testing, configuration and installation activities across cloud-native and hybrid data platforms.
  • Design and implement data pipelines using Azure Databricks for data cleaning, transformation and loading into a Data Lakehouse, while supporting relational and dimensional data modeling and Medallion Architecture practices.
  • Troubleshoot configuration and performance issues, while helping ensure database resiliency through backups, restores, redundancy, geo-replication, disaster recovery capabilities and Azure storage concepts.
  • Prioritize platform security and operational excellence by addressing database vulnerabilities, collaborating with clients and leadership, and creating detailed documentation and knowledge-sharing materials for the team.

What you must have?

  • 5+ years of experience working with Azure Databricks analytics database capabilities and other relational database technologies supported in Azure.
  • 5+ years of experience with Azure Data Lake Storage Gen 2, Azure Data Explorer, Azure Event Hubs, Spark Pools, Python, PySpark, SQL, Azure Landing Zone, Azure Networking Services and Microsoft EntraID.
  • 5+ years of experience designing and implementing data pipelines with Azure Databricks, including data cleaning, transformation, Data Lakehouse loading, geo-redundancy, HA/failover and Infrastructure as Code tools such as Terraform.
  • U.S. citizenship or current Green Card status held for at least 3 years, with the ability to work within the continental United States and travel as needed.

What would be nice to have?

  • 1+ large-scale cloud data migration completed using Databricks, Python, Spark and SQL.
  • Experience supporting SQL Server environments across versions 2005-2022.
  • 4 Azure certifications, including Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Data Fundamentals and Power BI Data Analyst Associate.

Salary Range

$128,000.00 - $216,000.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contactAskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements.Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.