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Lead Data Engineer
Analytical Mechanics Associates. Lead analytics product design, including dashboard layouts, visualization approaches, and semantic model architecture .
Posted 9/22/2026full-timeRemote • California • United StatesSenior💰 $130,000 - $155,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics product design, including dashboard development and data governance frameworks, while effectively engaging stakeholders to translate business needs into scalable technical solutions. Proficient in implementing data pipelines and ensuring data quality through advanced SQL and Python skills.
Highest-signal resume keywords
Power BI VisualizationDatabricks Data EngineeringAdvanced SQL SkillsData Governance ImplementationCI/CD Pipeline Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData Pipeline DevelopmentData Quality MonitoringData Vault 2.0Azure Data FactorySnowflakeGitSSISDashboard Design
Soft Skills
Effective CommunicationProblem-SolvingTroubleshootingMentoringCollaboration
Tools & Technologies
Power BITableauDOMOAzure DevOpsCI/CDNotebooksOperational ReportingData LineageRole-Based Access ControlsProduction Support
Industry Keywords
Business AnalyticsData EngineeringTechnical DirectionLegacy System ModernizationCentral Time Zone
Tech Stack
Tools & technologiesAzureCloudPythonSQLSSISTableauVault
About the role
Key responsibilities & impact- Lead analytics product design, including dashboard layouts, visualization approaches, and semantic model architecture
- Design and develop production-grade reports and dashboards
- Engage stakeholders directly and validate KPIs
- Build certified Power BI semantic models, executive dashboards, operational reporting, and governed self-service analytics
- Design and implement layered data pipelines using Databricks, Azure Data Factory, Snowflake, or comparable tools
- Implement automated data quality checks, reconciliation, pipeline monitoring, alerts, and operational support dashboards
- Reverse-engineer and modernize legacy SQL, SSIS, or integration workloads
- Establish and enforce engineering standards for SQL, Python, notebooks, repositories, testing, documentation, and naming conventions
- Implement Azure DevOps branching strategies, CI/CD pipelines, release management, and environment separation
- Design enterprise data governance frameworks, including documentation, role-based access controls, metric definitions, and data lineage
- Translate business and analytical needs into scalable technical solutions
- Assist with technical direction across data environment and data presentation work streams
- Mentor team members and help establish a collaborative engineering culture
- Troubleshoot technical issues and proactively detect data issues through validation and monitoring
Requirements
What you’ll need- BA/BS in a technical field including mathematics, information technology, engineering, accounting, or computational finance
- 5+ years of professional experience in business analytics or data engineering
- Minimum 5 years of hands-on experience with BI visualization tools such as Power BI, Tableau, DOMO, or equivalent platforms
- Strong production experience with Databricks, Snowflake, Azure Data Factory, or a comparable modern cloud data platform
- Advanced SQL and Python skills
- Experience building production ingestion, transformation, and analytics pipelines
- Experience implementing data governance, quality monitoring, lineage, and access controls
- Experience reverse-engineering and modernizing legacy SQL, SSIS, or integration workloads
- Experience with Git, Azure DevOps, CI/CD, testing, and controlled production releases
- Experience with Data Vault 2.0 or another governed historical modeling approach
- Ability to communicate effectively with technical teams and non-technical business stakeholders
- Demonstrated ownership of solutions from design through production support
- Strong documentation, troubleshooting, and problem-solving skills
- Must have a primary place of business in the Central Time Zone
- Must be a US citizen or Permanent Resident
Benefits
Comp & perks- Paid personal leave
- Federally recognized holiday leave
- Salary deferrals into a 401(k)-matching plan with immediate vesting
- Tuition reimbursement
- Short-term disability plan
- Long-term disability plan
- Medical insurance options
- Dental insurance options
- Vision insurance options
- Professional growth opportunities
- Engaging, collaborative, and supportive work environment