Solutions Architect - Digital Native Business, Named Accounts
Colorado Springs, Colorado, United States · Remote OK
$180k–$248k/yr
Senior$27B raised
FEQ327R210 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the fu…
Skills: Data engineering, Data science, Technical architecture, Python, SQL
Sr. Solutions Engineer - Digital Native Business, Named Accounts
Florida, United States · Remote OK
$152k–$209k/yr
Mid level$27B raised
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will shape the future of …
Skills: Data Engineering, Data Science, Machine Learning, Python, SQL
Lead GTM Enablement & Scale Architect, Field Engineering - Customer Skills
California, United States · On-site
$174k–$299k/yr
Senior+$27B raised
FEQ327R617 Lead GTM Enablement & Scale Architect, Field Engineering - Customer Skills About Databricks More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 …
Skills: GTM strategy, Enablement, Technical leadership, Customer engagement, Executive communication
San Francisco, California, United States · Remote OK
Senior$27B raised
SLSQ327R338 Databricks is seeking a Lakebase Associate Director Specialists to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent appl…
SLSQ327R638 The GTM Solutions & Governance team sits within GTM StratOps/Analytics (SGO) and is tasked with making our GTM data estate trustworthy, enriched, and self-serviceable. As a distinct function from traditional …
Skills: Python, SQL, Databricks, Generative AI, Data Engineering
Req: FEQ227R196 Location: Tokyo, Japan Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our cus…
Skills: GenAI, LLMOps, Machine Learning, RAG, Multi-agent systems
FEQ327R240 While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered. Mission Solutions Architects at …
Skills: Big data, Data engineering, Data analytics, Machine learning, AI
GAQ127R55 Location: We're looking to hire for this role in our Singapore, SG office. This will be a hybrid role with in-office expectations. About the Role: Databricks is looking for an experienced commercial attorney to…
Skills: Commercial Law, SaaS Transactions, Contract Negotiation, Data Privacy, Information Security
REQ ID: FEQ427R347 Location: Tokyo, Japan At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes dat…
Skills: Solutions Architecture, Pre-sales, Data Engineering, Data Warehousing, Machine Learning
FEQ327R299 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to…
FEQ327R299 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to…
FEQ327R245 Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish p…
SLSQ427R337 Databricks is looking for a Named Enterprise Account Executive to join us in Sydney, Australia. As a Core rep at Databricks, you are pivotal in driving the company's growth by expanding our footprint with exi…
P-226 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guid…
GAQ327R182 Mission The Workplace Services Specialist II will support Databricks’ London office, our EMEA headquarters, while also providing regional support across Paris, Stockholm, Israel, Zurich, and Saudi Arabia. Repo…
Mountain View, California, United States · On-site
$145k–$199k/yr
Senior$27B raised
GAQ327R256 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is seeking a Real Estate Strategic Planning Lead to join our Real Estate & …
Skills: Financial Modeling, Portfolio Planning, Scenario Planning, Strategic Analysis, Business Case Development
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do th…
SLSQ327R329 Databricks is seeking a Lakebase Associate Director Specialists to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent appl…
FEQ327R342 Location: Auckland At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes …
Remote in California, United States, Colorado, United States, Nevada, United States, Oregon, United States
Responsibilities
You will partner with the sales team to provide technical leadership and consult on big data architectures for strategic customer projects. Additionally, you will validate integrations, implement proof of concepts, and foster technical expertise within the developer community.
Requirements
Candidates must have 5+ years of experience in data engineering, data science, or technical architecture roles with proficiency in Python and SQL. Experience building distributed data systems and working with public cloud providers like AWS, Azure, or GCP is required.
Full job description
FEQ327R210
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE
As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.
Reporting to the Field Engineering Manager, you willcollaborate with existing DNB 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 Databricks 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 Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
What we look for:
5+ 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)
Nice to have: Databricks Certification
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. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,000—$247,500 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
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Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Offices: 160 Spear Street, 13th Floor, San Francisco, CA 94105, US · Fora 22 Berners Street, London, England W1T 3LP, GB · Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL · 11 W 42nd St, 30th Floor, New York, NY 10036, US · 120 Adelaide St W, Toronto, Ontario M5H, CA
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
---
Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Offices: 160 Spear Street, 13th Floor, San Francisco, CA 94105, US · Fora 22 Berners Street, London, England W1T 3LP, GB · Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL · 11 W 42nd St, 30th Floor, New York, NY 10036, US · 120 Adelaide St W, Toronto, Ontario M5H, CA