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Open nowFirst seen 4 days ago

Solutions Architect - Commercial West

FX10 Partners23 open roles

Where
San Francisco, California, United States, Remote
Work mode
Remote
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Your applicationOpen nowSolutions Architect - Commercial WestFX10 Partners · San Francisco, California, United States, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

Solutions Architect, Commercial

West US – Remote

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As a Solutions Architect on the Commercial team, you will shape the future of the big data landscape by working with the most dynamic data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

  • You will partner with the sales team and provide technical leadership to help customers understand how our client can help solve their business problems.
  • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
  • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
  • Become an expert in, promote, and recruit contributors for our client’s inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What they are looking for:

  • 3+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • Experience building distributed data systems
  • Comfortable programming in, and debugging, Python and SQL
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
  • Available to travel to customers in your region
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Benefits

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Employee Assistance Program (EAP)

About Our Client

Our client is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on our client's Platform to unify their data, analytics and AI. The company is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, the firm is on a mission to help data teams solve the world’s toughest problems.

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. Our client wants to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Our Commitment to Diversity and Inclusion

Our client is 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 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.

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