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Databricks
Mountain View, California; San Francisco, California
Source: Databricks careers · View original posting
From Databricks's posting. “We” and “our” refer to the employer.
RDQ427R204
Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter.
The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world's largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do.
We're looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You'll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure:
Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers.
Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale.
Bridge the gap between research and production by bringing ideas from the academic literature or internal R&D into systems that solve real customer problems.
Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency.
Shape product direction alongside engineering and product leadership, owning technical strategy from design through delivery.
Drive complex, multi-team technical initiatives that require sustained coordination and clear technical judgment.
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
$228,600 — $314,250 USD
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
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Instagram.
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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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