Lead Data Platform Engineer - Snowflake & dbt Cloud

KEY RESPONSIBILITIES

• Greenfield Platform Build: Partner with Data Leadership to design and implement a modern data platform using Snowflake, dbt Cloud, managed ingestion and CDC tooling, appropriate custom integrations, and GitHub-based workflows.
• Engineering Standards & Operating Model: Establish repeatable practices for environments, Git workflows, modular development, testing, code review, CI/CD, deployment controls, rollback, documentation, monitoring, access, and production support.
• Data Architecture & Modeling: Build a layered architecture spanning raw ingestion, conformed enterprise models, and published marts or data products. Design canonical models that standardize core business entities, definitions, relationships, and rules.
• Ingestion & CDC: Design and operate resilient ingestion patterns for SQL Server, ERP, CRM, SaaS applications, REST APIs, files, and semi-structured data using managed CDC and ingestion platforms alongside custom integrations where appropriate.
• Legacy Decoupling: Work with Data Leadership and the SQL Server team to profile legacy sources, inventory dependencies, identify data-quality risks, reconcile existing outputs, and migrate consumers from direct source-system access to governed data products.
• Quality, Reliability & Observability: Establish automated testing, reconciliation, freshness monitoring, schema-change controls, CDC-lag monitoring, alerting, failure handling, retry and replay patterns, runbooks, and production support expectations.
• Security, Cost & Performance: Design Snowflake environments, roles, service accounts, access patterns, workload isolation, monitoring, and consumption controls that support least privilege, auditability, performance, and responsible cloud spend.
• Data Delivery: Publish governed data products for Power BI, SSRS, Excel, HubSpot, Jira, internal and customer-facing APIs, custom applications, and a DBA-managed SQL Server serving layer for approved legacy and latency-sensitive consumers.
• Technical Ownership & Collaboration: Serve as the technical lead for the platform, owning technical quality, production readiness, design patterns, documentation, and platform stability while collaborating with Data Leadership and the data team, as well as infrastructure, security, and application teams.

QUALIFICATIONS & REQUIREMENTS

• Proven Greenfield Snowflake Experience: 7+ years of progressive data engineering or data platform experience, including substantial hands-on responsibility for at least one production greenfield Snowflake implementation or major platform modernization into Snowflake.
• Deep Snowflake Experience: Practical expertise with Snowflake architecture, warehouse and workload design, RBAC, security, cost governance, performance tuning, semi-structured data, monitoring, and production operations.
• dbt Cloud Expertise: Hands-on experience establishing and operating dbt Cloud with GitHub for modular transformation development, testing, lineage, documentation, environment management, CI, and production deployment.
• Production Pipeline Ownership: Experience designing and operating resilient ingestion, CDC, transformation, and delivery pipelines, including schema drift, freshness, reconciliation, failure recovery, retry, replay, and incident response.
• Data Modeling & Quality: Expertise designing conformed enterprise models, dimensional marts, and durable canonical data products supported by automated testing and data-quality controls.
• Software Engineering Practices: Strong proficiency in SQL, Python, Git and GitHub workflows, automated testing, code review, modular development, CI/CD, and controlled production releases.
• Security, Governance & Cost Discipline: Experience establishing practical access controls, environment separation, service-account and secrets patterns, auditability, production-change controls, and consumption monitoring.
• Pragmatic Technical Leadership: A hands-on builder who communicates tradeoffs clearly, challenges assumptions constructively, and takes ownership of reliability, maintainability, documentation, and production delivery.
• Location: Must be based in, or willing to commute to, the Plano, TX office at least 3 days per week.

PREFERRRED EXPERIENCE

TECH STACK