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Worth AI · 2 months ago

Data Engineers (Principal and Senior roles)

Miami, FL

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Principal Data Engineer to join their innovative team. The role involves owning the company-wide data architecture and platform, designing scalable data pipelines, and ensuring data quality and governance while collaborating with various teams to fulfill business needs.

Artificial Intelligence (AI)Business IntelligenceFinancial ServicesFinTechRisk Management

Responsibilities

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

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)

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

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

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)

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

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

Qualification

Data architectureCloud experience (AWS)SQLData modelingProgramming (Python/Scala/Java)Data quality testingOrchestration toolsStreaming technologiesSecurity best practicesLeadershipCollaboration

Required

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

All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida