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Principal Data Engineer at Worth AI. Worth 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 reaving fans both for our employees and customers.. Worth 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.. Responsibilities. What you will do:. . Architecture & Strategy. . . Define end-to-end data architecture (lake/lakehouse/warehouse, batch/streaming, CDC, metadata).. . Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models.. . Publish roadmaps, ADRs/RFCs, and “north star” target states; guide build vs. buy decisions.. . . Platform & Pipelines. . . Design and build scalable, observable ELT/ETL and event pipelines.. . Establish ingestion patterns (CDC, file, API, message bus) and schema-evolution policies.. . Provide self-service tooling for analysts/scientists (dbt, notebooks, catalogs, feature stores).. . Ensure workflow reliability (idempotency, retries, backfills, SLAs).. . . Data Quality & Governance. . . Define dataset SLAs/SLOs, freshness, lineage, and data certification tiers.. . Enforce contracts and validation tests; deploy anomaly detection and incident runbooks.. . Partner with governance on cataloging, PII handling, retention, and access policies.. . . Reliability, Performance & Cost. . . Lead capacity planning, partitioning/clustering, and query optimization.. . Introduce SRE-style practices for data (error budgets, postmortems).. . Drive FinOps for storage/compute; monitor and reduce cost per TB/query/job.. . . Security & Compliance. . . Implement encryption, tokenization, and row/column-level security; manage secrets and audits.. . Align with SOC 2 and privacy regulations (e.g., GDPR/CCPA; HIPAA if applicable).. . . ML & Analytics Enablement. . . Deliver versioned, documented datasets/features for BI and ML.. . Operationalize training/serving data flows, drift signals, and feature-store governance.. . Build and maintain the semantic layer and metrics consistency for experimentation/BI.. . . Leadership & Collaboration. . . Provide technical leadership across squads; mentor senior/staff engineers.. . Run design reviews and drive consensus on complex trade-offs.. . Translate business goals into data products with product/analytics leaders.. . . . 10+ years in data engineering (including 3+ years as staff/principal or equivalent scope).. . Proven leadership of company-wide data architecture and platform initiatives.. . Deep experience with at least one cloud (AWS) and a modern warehouse or lakehouse (e.g., Snowflake, Redshift, Databricks).. . Strong SQL and one programming language (Python or Scala/Java).. . Orchestration (Airflow/Dagster/Prefect), transformations (dbt or equivalent), and streaming (Kafka/Kinesis/PubSub).. . Data modeling (3NF, star, data vault) and semantic/metrics layers.. . Data quality testing, lineage, and observability in production environments.. . Security best practices: RBAC/ABAC, encryption, key management, auditability.. . Nice to Have. . . Feature stores and ML data ops; experimentation frameworks.. . Cost optimization at scale; multi-tenant architectures.. . Governance tools (DataHub/Collibra/Alation), OpenLineage, and testing frameworks (Great Expectations/Deequ).. . Compliance exposure (SOC 2, GDPR/CCPA; HIPAA/PCI where relevant).. . . Model features sourced from complex 3rd-party data.  (KYB/KYC, credit bureaus, fraud detection APIs). . . . Company Location: United States.