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Databricks Architect Jobs in Remote, OR (NOW HIRING)

Maintain solution patterns and accelerators aligned with Databricks architecture Delivery Enablement * Support seamless handoff from pre-sales to delivery teams for Databricks projects * Gather ...

Maintain solution patterns and accelerators aligned with Databricks architecture Delivery Enablement * Support seamless handoff from pre-sales to delivery teams for Databricks projects * Gather ...

Azure Databricks Admin

OR

$51.50 - $64/hr

Company Description Orchestrated by adept technical architects with over fifty years of applied ... Databricks at admin capacity. Must have clear understanding of NSGs, azure baseline security ...

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

Company Description Orchestrated by adept technical architects with over fifty years of applied ... Azure Databricks at admin capacity. • Must have clear understanding of NSGs, azure baseline ...

Data Engineer-Kiewit Nuclear Solutions 1

OR · Remote

$107.40K - $128.90K/yr

... to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC ... Azure Databricks (Spark / PySpark / Spark SQL) * Azure Data Factory * SQL Server / Azure SQL

Databricks Architect information

What are the key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What job categories do people searching Databricks Architect jobs in Remote, OR look for? The top searched job categories for Databricks Architect jobs in Remote, OR are:

Data & AI Technical Advisor - Databricks

Atos

On-site, Remote

Full-time

Posted 8 days ago


Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
NA Data and AI Technical Advisor- Databricks
Location: North America (Remote)
Role Type: Full-Time
Reports To: Head of Data and AI Technical Advisory, North America
Mission
To accelerate client transformation through co-innovated Data and AI solutions by forging strategic partnerships with Databricks and delivering scalable, high-impact architectures that solve real business challenges.
Role Overview
As a NA Data and AI Technical Advisor - Databricks, you will act as a trusted advisor and thought leader, driving innovation, enabling internal teams, and ensuring seamless integration of Databricks' advanced Data & AI capabilities into client solutions.
You will directly influence Atos' Data & AI strategy across North America, accelerate market penetration, and drive growth and revenue by shaping go-to-market initiatives, enabling co-sell motions with Databricks, and creating differentiated solutions that win strategic deals. This role requires a blend of technical depth, strategic leadership, and relationship-building skills to work cross-functionally with Alliance, Data & AI Delivery, Pre-Sales, Learning & Development, and Marketing teams.
Key Responsibilities
Technical Expertise & Certification
  • Maintain and advance Databricks certifications (e.g., Databricks Certified Data Engineer Professional)
  • Stay ahead of Databricks product releases, roadmap updates, and partnership programs

Sales & Pursuit Alignment
  • Serve as technical advisor during pre-sales engagements involving Databricks
  • Tailor solution demos, PoCs, and compelling value stories leveraging Databricks Lakehouse Platform
  • Ensure compliance with Databricks co-sell requirements and funding programs

Internal Enablement & Knowledge Sharing
  • Support L&D Teams in developing certification and enablement strategy for Databricks technologies within North America
  • Lead internal workshops, labs, and knowledge-sharing sessions
  • Maintain solution patterns and accelerators aligned with Databricks architecture

Delivery Enablement
  • Support seamless handoff from pre-sales to delivery teams for Databricks projects
  • Gather feedback from delivery to refine future implementations
  • Ensure adherence to Databricks best practices and reference architectures

Asset & IP Development
  • Build and maintain Databricks reference architectures, boilerplates, and templates
  • Codify repeatable solutions leveraging Databricks in a differentiated way
  • Collaborate with Marketing and Alliance teams on case studies, white papers, and thought leadership

Partnership Engagement
  • Act as liaison between Atos Data & AI Business Line, Atos Alliances, and Databricks partnership teams
  • Represent Atos at Databricks events, conferences, and advisory councils

Strategic Reporting
  • Track and report on:
  • Databricks certifications and enablement status within Atos North America
  • Databricks-aligned revenue
  • Use case wins, PoCs, and customer success stories

What We're Looking For
  • Sense of Agency: Ability to take ownership and drive initiatives independently.
  • Strategic Leadership: Experience in shaping and executing Databricks-aligned strategies.
  • Technical Depth: Strong expertise in Databricks Lakehouse Platform and related technologies.
  • Soft Skills: Exceptional communication and relationship-building skills.
  • Cross-Functional Collaboration: Proven ability to work across multiple teams and stakeholders.
  • Detail Orientation: Meticulous approach to solution design and execution.

Preferred Qualifications
  • 8+ years in technical advisory, solution architecture, or similar roles.
  • Hands-on experience with Databricks Lakehouse Platform, Delta Lake, MLflow, and Spark.
  • Familiarity with Databricks partner programs, co-sell motions, and funding mechanisms.
  • Thought leadership demonstrated through blogs, speaking engagements, or community contributions.
  • Knowledge of integration with other technologies such as SAP, GCP, Azure, AWS, and enterprise data platforms is a strong advantage.

Why Join Us?
  • Be part of a global leader driving AI-powered transformation.
  • Work at the intersection of innovation and execution, influencing strategic partnerships.
  • Access continuous learning and career development opportunities.
  • Contribute to Atos' commitment to ESG leadership and diversity.

Choose your future. Choose Atos.