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Contract Databricks Developer Jobs in Oregon (NOW HIRING)

OR · On-site

$63 - $83/hr

Due to federal contract requirements and client site access obligations, U.S. citizenship is ... Navigate Databricks Product and Engineering teams for new product Innovations, private previews ...

$122.21K - $180.57K/yr

Experience with Microsoft Fabric, Databricks, or equivalent lakehouse platforms * Experience ... Working knowledge of CI/CD for data (Azure DevOps or GitHub Actions), source control, and ...

Microsoft, Databricks, and Anthropic, and almost no other services firm with deep credibility ... Work cross-functionally with delivery, engineering, and product to drive and refine scalable ...

... contracts. You will contribute directly to the artifacts shared with engineering and executive ... Databricks exposure is a plus, but not required). * GenAI Builder Mindset: You've built something ...

New

Staff Software Engineer, Data Infrastructure

OR · Remote

$114.40K - $137.40K/yr

... Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You'll join a ... contracts. * Deep SQL proficiency and strong skills in Python or Scala for systems-level ...

... contract standards. Deliver a Modern Lakehouse (Data Lake / Delta Lake) * Build and manage a ... Hands-on experience with Databricks * Experience in operating CI/CD pipelines for data workflows ...

OR · On-site

... contract standards. Deliver a Modern Lakehouse (Data Lake / Delta Lake) * Build and manage a ... Hands-on experience with Databricks * Hands-on experienceutilizingmodern DevOps practices ...

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Contract Databricks Developer information

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

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are popular job titles related to Contract Databricks Developer jobs in Oregon? For Contract Databricks Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Oregon look for? The top searched job categories for Contract Databricks Developer jobs in Oregon are:
What cities in Oregon are hiring for Contract Databricks Developer jobs? Cities in Oregon with the most Contract Databricks Developer job openings:
Delivery Solutions Architect - Public Sector

Delivery Solutions Architect - Public Sector

Databricks

On-site

$63 - $83/hr

Other

Posted 25 days ago


Job description

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information. 

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

  • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
  • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
  • Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
  • Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
  • Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
  • Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
  • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
    • Main use cases moving from 'win' to production
    • Enablement/user growth plan
    • Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
    • Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
    • Executive and operational governance
  • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

  • U.S. citizenship 
  • 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
  • Programming experience in Python, SQL or Scala 
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
  • Understanding of solution architecture related to distributed data systems
  • Understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program, or project management, including account, stakeholder and resource management accountability
  • Experience in resolving complex and important escalations with senior customer executives
  • Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
  • Track record of overachievement against quota, Goals or similar objective targets
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Can travel up to 30% when needed