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Databricks Platform Architect Jobs (NOW HIRING)

HAN IT Staffing Inc.

Databricks/Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Databricks/Data Architect (Enterprise Data Platform) Experience: 14+ Years Location - NJ, Hybrid Note - Need Independent candidate for C2H after 3-6 months We are seeking a highly skilled Databricks ...

Omm IT Solutions

Sr. Databricks Architect

Jersey City, NJ

$70.75 - $93/hr

Databricks Platform Architecture, AWS Infrastructure (S3, IAM, VPC design, and PrivateLink).\n \n \n \n \n \n \n \n \n \n \n \n \n \n We are seeking an experienced Sr. Databricks Architect to lead ...

Changeis

Databricks Platform Engineer

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.

Tiger Analytics Inc.

Databricks Architect

$66.25 - $87/hr

Design and architect scalable and secure Databricks solutions platform, optimizing performance ... cost, and reliability. * Hands on Databricks/Dataops Architect that can help reduce consumption ...

Tanisha Systems, Inc.

Databricks Architect

Minneapolis, MN · On-site

$67.50 - $88.75/hr

The candidate should have strong hands-on experience in cloud data architecture, Databricks platform design, performance optimization, migration, data modeling, streaming, and security. * Design ...

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

Role: GCP Databricks Architect Location: Davidson, NC Onsite Duration: Long Term "BRIEF POSITION ... Design and implement modern data platform architecture for enterprise applications * Ensure ...

CDW

Principal Databricks Architect Consultant

The Principal Consulting Engineer - Databricks ensures scalable data architecture solutions are designed and implemented using the Databricks platform to the customer's satisfaction and approval.

ECS

Senior Databricks Platform Engineer

Quantico, VA · On-site

$140K - $165K/yr

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

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Databricks Platform Architect information

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$76

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How much do databricks platform architect jobs pay per hour?

As of Sep 9, 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 52% Full Time, 45% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $158,464 per year, or $76.2 per hour.

Director, Databricks Platform Architect - Unity Catalog Enablement

Mclean, VA • On-site

Infinitive Inc
See more jobs at Infinitive Incexternal

$170K - $215K/yr

Full-time

Re-posted 11 days ago

Job description

About Infinitive
Infinitive is a data & AI consultancy that enables global brands to deliver results through insights, innovation, and efficiency. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine eight times, and has also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work.
Role Overview
This architect will define and shape a unified platform service that enables scalable, governed, and cost-efficient data access across the bank. The ideal candidate will influence enterprise design standards and technical adoption by making Databricks Unity Catalog the effortless, observable, and default foundation for data integration, governance, and analytics across all business domains.
Key Responsibilities
Platform Vision & Architecture
  • Define and champion the end-to-end architecture for the bank's Databricks-based data platform, ensuring scalability, security, cost efficiency, and ease of adoption.
  • Design a self-service platform layer that leverages Databricks Unity Catalog to deliver seamless data discovery, access, and observability across all environments.
  • Establish architectural patterns and reference implementations that encourage enterprise-wide reuse and standardization.
Unity Catalog Strategy & Enablement
  • Lead the design and implementation of Databricks Unity Catalog as the central governance plane-defining catalog hierarchies, fine-grained access controls, and cross-environment lineage.
  • Evaluate and implement metadata, RBAC/ABAC, and data masking capabilities to meet regulatory and compliance requirements (e.g., GLBA, GDPR, HIPAA).
  • Define the template architecture that allows Unity Catalog to operate as a scalable and cost-effective shared service across lines of business.
Scalability, Cost, and Observability
  • Engineer platform capabilities that provide deep visibility into compute, storage, and catalog operations through integrated observability, monitoring, and FinOps practices.
  • Develop resource optimization strategies to balance performance and cost while maintaining compliance and SLAs.
  • Establish metrics, dashboards, and alerts to ensure the platform scales predictably under enterprise workloads.
API and Integration Design
  • Architect streamlined RESTful/GraphQL APIs for secure, governed data access and metadata integration.
  • Ensure interoperability with enterprise systems, APIs, and external data consumers using modern, consistent, and documented integration patterns.
Data Modeling & Pipeline Strategy
  • Guide teams in building Lakehouse-aligned data models that maximize reuse and governance.
  • Oversee design of ETL/ELT architectures (Spark, PySpark, SQL) that integrate seamlessly with Unity Catalog for lineage and access tracking.
Collaboration & Influence
  • Partner with engineering, data science, and risk teams to align platform design with business outcomes and regulatory expectations.
  • Influence architecture steering committees and platform engineering groups to adopt the Databricks foundation as a managed, enterprise-wide service.
  • Promote a culture of easy adoption through clear design patterns, documentation, and working sessions.
Technical Leadership & Mentorship
  • Mentor engineers and architects on Databricks, Unity Catalog, and best practices for cost, scale, and observability.
  • Contribute to internal architecture communities and upskill teams across multiple domains.

Required Skills & Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Experience: 8+ years in data architecture or platform engineering, including experience designing enterprise-scale, distributed data environments.
  • Databricks Expertise: Deep hands-on knowledge of Databricks, Delta Lake, Apache Spark, and Lakehouse principles.
  • Unity Catalog Mastery: Demonstrated success architecting and operationalizing Databricks Unity Catalog for enterprise governance, metadata management, and access control.
  • Programming & Data: Advanced proficiency in Python (PySpark) and SQL; experience with cloud data platforms (AWS, Azure, or GCP).
  • API Engineering: Strong background in API architecture (REST, GraphQL, OpenAPI) and applying best-in-class security and observability.
  • Governance Knowledge: Expert-level understanding of data governance frameworks, data quality management, and regulatory compliance.
  • Soft Skills: Outstanding communication and influence skills, with ability to advocate for design principles across executive, technical, and risk audiences.

Preferred Qualifications
  • Experience deploying Databricks and cloud infrastructure using Terraform or IaC frameworks.
  • Familiarity with MLflow and model governance integration.
  • Relevant certifications (Databricks Certified Data Engineer, AWS/Azure/GCP Architect).
  • Experience with real-time data streaming technologies (Kafka, Structured Streaming).

Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $170,000.00 - $215,000.00.
Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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