Sr. Specialist Solutions Architect - Data Engineering & Warehousing
Massachusetts, United States · On-site
$219k–$301k/yr
Senior+$27B raised
FEQ327R204 As a Sr. Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-fa…
Skills: Data Engineering, Lakehouse Architecture, Spark, Kafka, SQL
P-1524; This role is hybrid with 3 days in our Amsterdam office. As a Sr. Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the D…
San Francisco, California, United States · On-site
$190k–$270k/yr
Mid level$27B raised
About Databricks Databricks is the Data + AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 — rely on the Databricks Lakehouse Platform to un…
(FEQ327R60) About the Role At Databricks, we are looking for a Solutions Architect to join our Benelux Hunter Pre-sales team. You will be the technical lead for our most strategic new engagements in the region, with the …
Skills: Solution Architecture, Pre-sales, Data Engineering, Data Warehousing, Generative AI
SLSQ227R838 The Consulting & Systems Integrator (C&SI) organization accelerates Databricks' growth by building and managing strategic relationships with the world's leading data and technology services companies. As the …
Sr. Technology Partner Director, Business Applications
Washington, United States · On-site
$152k–$246k/yr
Senior$27B raised
RDQ427R507 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems by partnering with the ISVs that drive innovation across every line of business. We enable our partners to bring d…
San Francisco, California, United States · On-site
Senior+$27B raised
SLSQ327R552 -San Francisco -Seattle We are looking for an Enterprise Sales Director to join our growing Media business in the East Coast. You will lead a team of Enterprise Account Executives and you will be measured by …
Skills: Enterprise Sales, Team Leadership, Value Selling, MEDDPICC, Challenger Sale
SLSQ227R821 Director, Lakebase Sales Specialists We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Datab…
FEQ427R161 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 data science and an…
Skills: Python, Java, Scala, Big Data Analytics, Solution Architecture
P-1570 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 data science and analyt…
Skills: Big Data Analytics, Python, Java, Scala, Apache Spark
Mission We are looking for a Technical Sourcer to help us grow our engineering offices in EMEA. You will be the driving force behind finding and engaging with some of the finest talent in the industry as we continue to s…
Skills: Technical Sourcing, Talent Attraction, Passive Engagement, Competitive Intelligence, DEI
Strategic Sales Account Executive - Professional Services
London, England, United Kingdom · On-site
Senior+$27B raised
SLSQ427R12 Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Enterprise Account Executive, you will come with an informed and compelling point of vie…
P-1502 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. W…
P-1502 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. W…
P-1502 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. W…
P-1502 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. W…
SLSQ327R305 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This…
SLSQ327R307 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This…
SLSQ227R819 Director, Lakebase Sales Specialists We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Datab…
SLSQ327R496 As a Geo Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into accounts with over $1B in Annual Revenue, or well-funded Start-ups valued over $1B. You know…
Skills: Strategic Sales, Net-New Logo Acquisition, Cloud Computing, Big Data, SaaS Sales
Sr. Specialist Solutions Architect - Data Engineering & Warehousing
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$219k–$301k/yr
Full-time
bachelor degree
Annual Performance Bonus, Equity
Posted 1d ago
~40 hrs/week
Responsibilities
Guide strategic customers through cloud data engineering transformations and architect production-level data pipelines on the Databricks Intelligence Platform. Provide technical leadership, perform load performance testing, and support Solution Architects with custom proof of concepts.
Requirements
Requires 8+ years of technical experience in software/data engineering, data warehousing, and cloud environments. Must be proficient in SQL and at least one programming language like Python, Scala, or Java, with a degree in Computer Science or equivalent experience.
Full job description
FEQ327R204
As a Sr. Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases.
In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform.
As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty.
The impact you will have:
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.
Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.
Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures.
Provide tutorials and training to improve community adoption (including hackathons and conference presentations).
Contribute to the Databricks Community.
What we look for:
8+ years of experience in a technical role with deep expertise across the following areas:
Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions.
Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV).
Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP & OLTP workloads.
Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection.
Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs.
Deep expertise across multiple core data engineering domains, including:
Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments.
Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion.
Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP). Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration.
Production programming experience in SQL and at least one of the following: Python, Scala, or Java.
Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable.
Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
[Preferred] Prior customer-facing experience in a pre-sales or post-sales technical role.
Ability to meet expectations for technical training and role-specific milestones within 6 months of hire.
Willingness to travel up to 30% as needed.
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
$219,100—$301,300 USD
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.
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.
---
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