Principal Data Engineer

Worth AI; Miami (FL); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health Care Plan

Retirement Plan

Unlimited Paid Time Off

Work From Home

Free Food & Snacks

Job summary

A technology-driven company in Miami seeks a Principal Data Engineer to lead data architecture and platform initiatives. This role demands 10+ years of data engineering experience and expertise in AWS, SQL, and Python. Ideal candidates will possess strong leadership abilities and a proven track record in building scalable data solutions. The position offers comprehensive benefits including medical, dental, and 401k plans, along with unlimited paid time off.

Qualifications

• 10+ years in data engineering, including 3+ years in a principal role.
• Proven leadership in data architecture and platform initiatives.
• Deep experience with at least one cloud provider, preferably AWS.

Responsibilities

• Define end-to-end data architecture and set standards.
• Design scalable ELT/ETL and event pipelines.
• Ensure compliance with security regulations like SOC 2 and GDPR.

Skills

Data engineering expertise

Leadership

SQL

Python

Cloud services (AWS)

Data quality testing

Tools

Snowflake

Airflow

Kafka

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