Senior Manager, Data Engineering

Palmetto

. Lead, hire, develop, and retain a team of data engineers .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $214,000 - $302,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading data engineering teams, designing enterprise data architecture, and managing cross-team projects. Proficient in SQL and backend programming, with a strong focus on building governed data solutions and vendor negotiations.

Highest-signal resume keywords

Data Engineering LeadershipEnterprise Data Architecture DesignSQL ProficiencyBackend Programming (Python)Vendor Evaluation and Negotiation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringEnterprise Data ArchitectureSQLPythonData GovernanceData ModelingData LineageAPIsData Transformation FrameworksAgentic Engineering

Soft Skills

Team DevelopmentConsensus BuildingFeedback ProvisionCareer Path DevelopmentCross-Team Collaboration

Tools & Technologies

SnowflakeBigQueryDbtData Warehousing ToolsData Pipeline Tools

Industry Keywords

Data Engineering RoadmapData Platform ProjectsProduction APIsAuthorization and Access ControlPII Handling

Tech Stack

Tools & technologies

BigQueryPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead, hire, develop, and retain a team of data engineers
Set team expectations, provide feedback, and build career paths
Set the data engineering roadmap in alignment with company objectives
Weigh trade-offs and determine team priorities
Deliver cross-team projects on time and on budget
Set target architecture for ingestion, modeling, semantic layer, and governance
Review designs and write code when helpful
Own reliable pipelines with clear SLAs and consistent metric definitions
Direct the secure serving layer and APIs, including priorities and standards
Build governed, agent-ready data with source-traceable answers
Evaluate data platform and tooling vendors and negotiate contracts within approval limits
Manage warehouse and tooling costs
Partner with finance, operations, sales, marketing, and product on evolving data needs
Report to the VP, Engineering

Requirements

What you’ll need

10+ years in software or data engineering, including 5+ years managing engineers
A record of hiring well, developing people, and building strong teams
Experience designing enterprise data architecture, including warehouse, modeling, lineage, and governance
Hands-on experience with a modern warehouse and transformation framework, such as Snowflake, BigQuery, or dbt
SQL proficiency
Fluency in one backend language, such as Python, sufficient to review and contribute
Demonstrated agentic engineering beyond prompting, including using coding agents and bringing agentic practices to a team
Working knowledge of production APIs, authorization and access control, and PII handling
Record of delivering data platform projects spanning multiple teams
History of building consensus with partners outside engineering, including finance, capital markets, and accounting
Experience preparing governed data for AI consumers, with answers traceable to their source
Experience evaluating vendors and negotiating contracts
Successful completion of a background check

Benefits

Comp & perks

Unlimited PTO
Medical coverage
Dental coverage
Vision coverage
Paid parental leave
Retirement plans
Promote-from-within culture
Talent development and career growth opportunities
Purpose-driven work
Collaborative, impact-oriented, and balanced work culture