{"id":356202,"url":"https://alion.io/job/datasite-data-engineering-team-lead-grata","title":"Data Engineering Team Lead - Grata","company":{"id":7183,"name":"Datasite","domain":"datasite.com","url":"https://alion.io/company/datasite","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":141000,"max":248000,"currency":"USD","period":"year","gross":null,"usd_annual":248000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Feature Store","optional":true}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-01T09:50:02Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"About us\nDatasite is the essential infrastructure for M&A. Also comprising Grata, Blueflame AI, and Sherpany, we help dealbreakers find opportunities, manage transactions, and make key decisions.\nWhatever your talents, you can find a place for them here. Get involved in some of the biggest business ventures today. Work with other gifted people around the world. Follow your ambitions, or discover a whole new path.\nCan you help us simplify the complex, create great experiences, and deliver better outcomes? Then let's talk.\nJob Description:\nGrata is the leading private-market dealmaking platform-bringing the most comprehensive,accurate, and searchable proprietary data on private companies, financials, and owners to investors, advisers, and corporate deal teams. With 700+ customers and recognition from G2 and PE Wire,we'regrowing fast and shaping the future of data-driven dealmaking.\nRole overview\nWe'relooking for a Data Engineering Team Lead to own the technical direction and delivery of the team that builds andoperatesthe data platforms powering Grata's products and analytics.You'llsplit your time between hands-on technical leadership - architecture, design review, and unblocking hard problems - andpeopleleadership: growing engineers, setting priorities, and making sure the team ships reliable, high-leverage work.You'llpartner closely with Product, Data Science, and Application Engineering, and represent the data platform in cross-functional planning.\nWhatyou'lldo\nLead the team: Manage and grow a team of Data Engineers - set goals, run 1:1s, give feedback, and own hiring and performance for the team.\n\nOwn technical direction: Set architecture and design standards for ELT/ETL pipelines in Python/SQL/Spark onDatabricks, andmake the build-vs-buy and platform trade-off calls for the team.\n\nEvolve thelakehouse& warehouse: Drive dimensional modeling/star schemas and incremental patterns (e.g., Delta Lake/CDC), balancing cost, performance, and usability across the team's roadmap.\n\nStreaming & event data: Set the technical bar for real-time/near-real-time jobs, idempotency, andexactly-oncesemantics; review designs before they ship.\n\nQuality, lineage, and governance: Ensure the team implements automated testing, anomaly detection, validation, lineage/metadata, and documentation as a standard part of delivery.\n\nScale & reliability: Own SLOs and on-call rotations for data platforms; make sure monitoring, alerting, and capacity/cost management scale with the business.\n\nPrioritize & sequence delivery: Break down ambiguous initiatives into a roadmap, sequence the team's work, and hold the team accountabletomeasurable improvements in freshness, completeness, and query performance.\n\nPartner across functions: Represent the data platform with Product and DS on source selection, feature readiness, and experiment design; with App Eng on stable APIs and semantic layers.\n\nRaise the bar: Lead design and code review, run brown-bag sessions, and coach engineers toward greater technical ownership and independence.\n\nWhatyou'llbring\n6+ years building and operating production data systems at scale, including prior experience leading a team or mentoring senior engineers.\n\nA track recordof managing people or leading a team through ambiguous, high-stakes initiatives to clear results - including hiring, performance management, and career development.\n\nDeep fluency withPython andSQL; expert inSpark/Databricks andlakehousepatterns.\n\nStrong data modeling skills, and the judgment to set standards other engineers will follow.\n\nExperience running workloads in AWS (or similar cloud): storage,compute, networking basics, cost controls.\n\nHands-on with orchestration (Airflow/Databricks Workflows/dbt), CI/CD for data, andIaC.\n\nComfortoperatingas both an individual technical contributor and a people manager - able to context-switch between deep technical work and team leadership day to day.\n\nNice-to-haves\nEvent platforms (Kafka/Kinesis), vector/feature stores, ML feature engineering with DS partners.\n\nData observability platforms; data catalog/lineage tooling; data access governance.\n\nExperience shaping product-facing datasets and semantic layers (e.g., for BI and APIs).\n\nPrior experience as an EM or tech lead managing a team of 3+ data or software engineers.\n\nThe base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.\n$141,000.00 - $248,000.00Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. 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