Lead Data Engineer

Fullbay

. Own Fullbay's data platform end to end, including architecture, hands-on development, and company-wide data standards .

Posted 10/2/2026full-timeRemote • Arizona • United StatesSenior💰 $131,709 - $161,344 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data engineering, with a focus on managing production data platforms, dimensional modeling, and entity resolution. Proficient in SQL, Snowflake, and building automated transformation code while ensuring compliance and effective communication across teams.

Highest-signal resume keywords

Data Engineering ExperienceDimensional ModelingSnowflake ExpertiseAutomated TestingEntity Resolution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDimensional ModelingChange Data CaptureIncremental ExtractionAutomated TestingVersion ControlData TransformationCrosswalk LogicSurvivorship RulesSchema Drift Detection

Soft Skills

Strong Written CommunicationDiplomatic Arbitration

Tools & Technologies

SnowflakeSalesforceCI/CD ToolsData Platform

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data Engineering

Industry Keywords

Data StandardsData GovernanceCompliance RegulationsCost ManagementRole-Based Access Control

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Own Fullbay's data platform end to end, including architecture, hands-on development, and company-wide data standards
Own certified metric and entity definitions and serve as final arbiter of cross-functional definitional disagreements
Keep documentation current so business users can find trusted answers without assistance
Build and extend the gold layer using SQL and transformation code in version control with automated tests
Own identity resolution across Classic, Next, and Salesforce, including crosswalk logic, survivorship rules, and platform-of-record determination
Own Snowflake role hierarchy, grants, row access and masking policies, warehouse sizing, cost attribution, and spend
Design curated access paths for AI agents, including per-agent identities and grants, registration patterns, and retention policies
Onboard new data sources, own schema drift and deletion detection, and partner with engineering on source schema changes
Scope and direct the retained architecture consultant's work, review deliverables, and reject nonconforming work
Provide guidance and office hours for business users and AI builders self-serving against the data platform
Adhere to confidentiality and compliance regulations
Perform other duties as assigned

Requirements

What you’ll need

7+ years of data engineering experience, including demonstrated ownership of a production data platform, required
Deep dimensional modeling experience required: able to declare a grain, defend historization choices per attribute, and articulate a restatement policy
Experience with Snowflake (or a comparable cloud data warehouse) beyond SQL — warehouse strategy, cost management, RBAC, and environment design — required
Experience building transformations as version-controlled code with automated tests and CI required
Bachelor’s degree in computer science, data engineering, or a related field, or equivalent work experience
Experience with change data capture and incremental extraction from application databases required
Experience with entity resolution across systems with independent identifiers required
Strong written communication skills; able to arbitrate cross-functional definitional disagreements clearly and diplomatically
Nice to have: Experience serving AI or programmatic consumers of data, familiarity with the Salesforce object model, prior experience as a company’s first data hire, and prior experience directing outside vendors