Technical Manager, Data Engineering

Horizon Five is a practitioner-led consulting firm focused on improving performance through data and analytics. They are seeking a hands-on Technical Manager, Data Engineering to lead technical delivery across multiple client engagements while mentoring engineers and translating finance and data problems into effective solutions.

Responsibilities:

• Own technical delivery across one or more client engagements from solution design through implementation, documentation, and handoff
• Stay hands-on by building and reviewing data pipelines, integrations, semantic/reporting layers, automation workflows, and analytics outputs using tools such as Alteryx, SQL, Snowflake, Power BI, Workato, dbt, or equivalent platforms
• Translate requirements from finance, accounting, FP&A, controllership, operations, and IT stakeholders into technical architecture, implementation plans, and delivery milestones
• Serve as a primary technical point of contact for clients, including working sessions, architecture reviews, status updates, issue resolution, and expectation management
• Manage and mentor small teams of data engineers, analytics engineers, or developers; review work, unblock technical issues, and reinforce quality standards
• Identify risks early, including scope creep, data quality issues, source-system limitations, integration blockers, performance issues, and adoption risks
• Contribute to H5’s internal technical standards, reusable frameworks, delivery playbooks, and approaches for scalable, maintainable client solutions
• Support pre-sales and scoping conversations by helping estimate effort, identify delivery risks, and shape practical technical approaches

Requirements:

• 7+ years of experience in data engineering, analytics engineering, data architecture, technical consulting, or implementation work, with at least 2-3 years in a lead or management capacity
• Hands-on experience with ETL/ELT, data integration, workflow automation, cloud data platforms, and BI tools such as Alteryx, Workato, dbt, Snowflake, Databricks, SQL, Power BI, or Tableau
• Comfort working across ERP, EPM, and finance source systems such as Oracle, SAP, NetSuite, Sage Intacct, Business Central, Oracle EPM, OneStream, Workday, or similar platforms
• Ability to translate business requirements into technical designs, data models, pipelines, integrations, reports, dashboards, and automation workflows
• Experience managing client relationships directly, not just internal technical teams, with the ability to facilitate working sessions and communicate tradeoffs clearly
• Strong written communication skills, including technical documentation, solution diagrams, status updates, implementation plans, and executive-ready summaries
• Consulting, professional services, finance transformation, or client delivery background strongly preferred, with comfort operating through ambiguity and shifting scope
• Exposure to financial close, FP&A, management reporting, SOX compliance, controls, or audit-readiness environments is a strong plus