Databricks

Senior Staff Software Engineer - Lakeflow Pipelines Datasets

Databricks$228K — $314K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years experience with large-scale distributed systems
  • Expertise in database internals, storage systems, distributed computing, or streaming systems
  • Proven track record of implementing multi-year technical visions
  • Strong algorithmic foundations and practical judgment
  • Experience in team alignment and initiative driving
  • BS, MS, or PhD in Computer Science or related field

Responsibilities

  • Architect and deliver scalable, fault-tolerant platforms for declarative pipelines
  • Transform large-scale technical challenges into actionable execution plans
  • Bridge research and production by applying academic findings to real-world problems
  • Lead performance diagnosis and optimization on production clusters
  • Shape product direction by collaborating with engineering and product teams
  • Drive complex technical initiatives across multiple teams

Benefits

  • Comprehensive benefits package tailored to employee needs
  • Eligibility for annual performance bonuses
  • Potential for equity participation
Full Job Description
Were looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. Youll 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: - Declarative Dataflow Processing - Resource management - Efficient storage structures - Stream Processing and Complex Event Processing - Autonomic Computing and Self-Managing Systems The Impact you will have: - 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. What Were Looking For: - 10+ years of experience building, operating, and evolving large-scale distributed systems in production. - Deep expertise in one or more of: database internals, storage systems, distributed computing, streaming systems, language/API design, or performance engineering. - Track record of executing against a multi-year technical vision through well-sequenced incremental milestones. - Strong algorithmic foundations with the practical judgment to know when they matter and when simpler solutions win. - A bias toward customer impact over technical novelty for its own sake. - Experience building alignment across teams and driving initiatives from conception through customer adoption. - BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience). 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 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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