DatabricksDA

Resident Solutions Architect

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.

Databricks

Employee count: 1001-5000

Brazil only
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CSQ125R54

As a Resident Solutions Architect, you will have the opportunity to shape the future big data landscape for leading Fortune 500 organizations. This position is a senior level customer-facing role that requires deep expertise in Apache Spark™ along with a breadth of big data solution architecture experience.

On a weekly basis, you will guide customers through architecture, design, and implementation while strategically aligning their technical roadmap for expanding the usage of the Databricks platform. As part of the RSA team, you will continue to strengthen your technical expertise through mentorship, continuous learning, and internal training programs. This role can be remote, but the ideal candidate will be located in the job listing area and have a willingness to travel up to 30%.

Outcomes

  • Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment
  • Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success
  • Architect production level workloads, including end to end pipeline load performance testing and optimization
  • Deliver tutorials and trainings to drive community adoption (including hackathons, conference presentations, etc.)
  • Work closely with Engineering and Product Management to drive the direction of the Databricks product
  • Contribute to Databricks SME community

Competencies

  • Hands-on and technical expertise with Apache Spark
  • Proven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP
  • 5+ years Experience working as either: Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
  • Comfortable programming in Python, Scala or Java
  • Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
  • Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. E.g. Jenkins.
  • Excellent communication skills and comfortable presenting to strategic stakeholders/leadership.
  • Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.
  • Passionate about learning new technologies and making customers successful
  • Data Science/ML Engineer experience model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow desired.

Benefits

    • Comprehensive health coverage including medical, dental, and vision

    • 401(k) Plan

    • Equity Awards

    • Flexible Time Off

    • Paid Parental Leave

    • Family Planning

    • Fitness Reimbursement

    • Annual Career Development Fund

    • Home Office/Work Headphones Reimbursement
    • Employee Assistance Program (EAP)

    • Business Travel Accident Insurance

    • Mental Wellness Resources

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedInandFacebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About the job

Apply before

May 11, 2024

Posted on

Mar 13, 2024

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

Brazil +/- 0 hours

About Databricks

Learn more about Databricks and their company culture.

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As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

Databricks was founded in 2013 and has thousands of global customers including Comcast, Shell, HP, Expedia, and Regeneron. The company also has hundreds of global partners that include Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton. Databricks is founded by the original creators of popular open source projects, including Apache Spark, Delta Lake, MLflow and Koalas.

Employee benefits

Learn about the employee benefits and perks provided at Databricks.

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Equity benefits

So you are rewarded for your best work.

Retirement benefits

401(k) plan to help you invest in your future.

Learning and development budget

Annual personal development fund to grow your skills.

Fertility benefits

We'll help pay for people going through family planning.

View Databricks's employee benefits
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Databricks

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