Principal Data Engineer

Worth AI

United States

United States

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divh2Principal Data Engineer/h2pWorth AI, a leader in the computer software industry, is looking for a talented and experienced Principal Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape. Our team values include extreme ownership, one team and creating raving fans both for our employees and customers./ppWorth is looking for a Principal Data Engineer to own the company-wide data architecture and platform. Design and scale reliable batch/streaming pipelines, institute data quality and governance, and enable analytics/ML with secure, cost-efficient systems. Partner with engineering, product, analytics, and security to turn business needs into durable data products./ph3Responsibilities/h3pWhat you will do:/pullistrongArchitecture Strategy/strong ulliDefine end-to-end data architecture (lake/lakehouse/warehouse, batch/streaming, CDC, metadata)./liliSet standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models./liliPublish roadmaps, ADRs/RFCs, and north star target states; guide build vs. buy decisions./li/ul/lilistrongPlatform Pipelines/strong ulliDesign and build scalable, observable ELT/ETL and event pipelines./liliEstablish ingestion patterns (CDC, file, API, message bus) and schema-evolution policies./liliProvide self-service tooling for analysts/scientists (dbt, notebooks, catalogs, feature stores)./liliEnsure workflow reliability (idempotency, retries, backfills, SLAs)./li/ul/lilistrongData Quality Governance/strong ulliDefine dataset SLAs/SLOs, freshness, lineage, and data certification tiers./liliEnforce contracts and validation tests; deploy anomaly detection and incident runbooks./liliPartner with governance on cataloging, PII handling, retention, and access policies./li/ul/lilistrongReliability, Performance Cost/strong ulliLead capacity planning, partitioning/clustering, and query optimization./liliIntroduce SRE-style practices for data (error budgets, postmortems)./liliDrive FinOps for storage/compute; monitor and reduce cost per TB/query/job./li/ul/lilistrongSecurity Compliance/strong ulliImplement encryption, tokenization, and row/column-level security; manage secrets and audits./liliAlign with SOC 2 and privacy regulations (e.g., GDPR/CCPA; HIPAA if applicable)./li/ul/lilistrongML Analytics Enablement/strong ulliDeliver versioned, documented datasets/features for BI and ML./liliOperationalize training/serving data flows, drift signals, and feature-store governance./liliBuild and maintain the semantic layer and metrics consistency for experimentation/BI./li/ul/lilistrongLeadership Collaboration/strong ulliProvide technical leadership across squads; mentor senior/staff engineers./liliRun design reviews and drive consensus on complex trade-offs./liliTranslate business goals into data products with product/analytics leaders./li/ul/li/ul/div

United States

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