Senior data engineerabout the rolewe're looking for a staff data engineer to shape the future of our data platform. You'll architect scalable systems, set technical direction, and build the frameworks that enable our data organization to operate at scale. This is a high-leverage role where your work multiplies the effectiveness of the entire team.what you'll doplatform architecture & strategyown the technical roadmap for our data platform, making architectural decisions that balance scalability, cost, and maintainabilityevaluate and champion new technologies and tools, leading adoption across the organizationdesign systems for terabyte-scale data processing with a focus on performance and cost optimizationestablish data engineering standards, patterns, and best practices that elevate team qualitymodel infrastructure costs and drive efficiency initiatives across snowflake and cloud platformsadvanced technical workdesign and build scalable infrastructure for ai/ml workloads, including model training pipelines, feature engineering systems, and ai agent platformsbuild reusable frameworks and internal platforms that abstract complexity for other engineersdesign complex data models for critical business domains, balancing normalization, performance, and usabilityarchitect real-time/streaming data infrastructure for low-latency use casesengineer solutions for large-dataset performance challenges (snowflake clustering, micro-partitioning, query optimization)create sophisticated data-contract validators and schema evolution frameworksdevelop profiling and drift detection systems that ensure data quality at scaletechnical leadershipconduct design reviews and provide architectural guidance for major initiativeslead incident response for critical data systems and drive blameless post-mortemsdefine slas and reliability standards for data productsmentor and upskill data engineers through pairing, code reviews, and technical discussionslead cross-functional projects with analytics, data science, and product teamsoperational excellencebuild data observability platforms with intelligent alerting and monitoringperform capacity planning and scalability analysis for the entire data stackbenchmark performance across infrastructure to identify optimization opportunitiesdesign self-service tools that enable analytics engineers and analysts to work independentlywhat you bringtechnical depthdeep expertise with modern data warehouses (snowflake strongly preferred) including advanced optimization techniquesstrong foundations in distributed systems, data structures, and algorithmsproduction experience building high-volume data pipelines and etl/elt systemsproficiency in python/sql and orchestration tools (airflow, dbt, or similar)experience with cloud platforms (aws/gcp) and infrastructure-as-codestrategic thinkingtrack record of making architectural decisions with long-term impactability to evaluate tradeoffs between competing approachesexperience balancing technical excellence with business pragmatismproven ability to drive technical strategy across an organizationleadership & communicationhistory of mentoring engineers and raising team capabilitiesexcellent written and verbal communication for technical and non-technical audiencesability to build consensus and influence without direct authorityexperience leading projects across multiple teamsbonus pointsexperience with streaming systems (kafka, flink, etc.)data mesh or domain-oriented architecture implementationopen source contributions or technical writingbackground in analytics engineering or data modelingyou'll thrive here ifyou think in systems and frameworks, not just individual solutionsyou're energized by making other engineers more effectiveyou balance perfectionism with pragmatic deliveryyou're comfortable with ambiguity and defining your own projectsyou care deeply about code quality, documentation, and operational excellence
we will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.about circlecicircleci is the world's largest continuous integration/continuous delivery (ci/cd) platform, and the hub where code moves from idea to delivery. As one of the most-used devops tools - processing more than 3 million jobs a day - circleci has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of ai into their commercial applications. Companies like hinge, huggingface, and samsung use us to improve engineering team productivity, release better products, and get to market faster.founded in 2011 and headquartered in downtown san francisco with a global, remote workforce, circleci is venture-backed by base10, greenspring associates, eleven prime, ivp, sapphire ventures, top tier capital partners, baseline ventures, thresholdventures, scale venture partners, owl rock capital, next equity partners, heavybit, and harrison metal capital. Circleci is an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.