Start Your Search Here

push notification bell

Would you like to receive notifications about Computer and Mathematical Occupations jobs in Doral?

push notification bell

You have blocked notifications

Oops! You have blocked notifications. Click here for more info

You have blocked notifications, please check your browser settings.

push notification bell

You're currently subscribed to job notifications

Want to change your notifications for job alerts?

push notification bell

Subscribe to notifications

You will no longer receive notifications

Job Search

Worth AI

Doral / Global

Principal Data Engineer

Job Description

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

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

Requirements

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)

Benefits

Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

#J-18808-Ljbffr

Apply Now

Similar Opportunities

View all jobs

Get Job Alerts

Don't miss the perfect fit. Get Daily curated job alerts.

Job Title or Keyword(s)
Location