Data Engineering Manager- Data Visualization; Remote

Job Summary & Responsibilities

The Data Engineering Manager – Enterprise Data Visualization will report to the Sr. Director, Data Engineering in the Technology Department. This role will engage with Business Leaders, Analysts, Data Stewards, Application Architects, and third‑party providers. The manager will lead an agile team of Data Engineers to enhance data delivery, quality, accessibility, and analysis, improving functionality, streamlining processes, and supporting business and operational teams.

• Lead an agile team of data engineers with varying levels of experience in the delivery of enterprise data initiatives.
• Oversee the creation of data visualizations including enterprise dashboards, analytical, and operational reporting.
• Partner with business leadership to implement 3–5 year plan for area of responsibility.
• Manage multiple concurrent projects.
• Define and establish benchmarks, metrics, and quality measures.
• Support disaster recovery and contingency planning.
• Ensure solutions meet non‑functional requirements, including security, performance, maintainability, scalability, usability, and reliability.
• Effectively manage relevant third‑party vendor relationships.
• Support the stability and resiliency of Data Visualization production processes, and institute a robust support model addressing process and application failures.
• Understand the business and technology.
• Drive process alignment with business partners.
• Identify project team requirements and capital requirements.
• Evaluate and integrate productivity tools, development tools, testing tools, databases, and applications into the architecture.
• Work with Technology Infrastructure and Software Engineering leaders to ensure effective operational tools and procedures are in place to support the application architecture.
• Research and strategize emerging technologies relevant to business needs.
• Develop and document an overall enterprise reporting delivery architecture that is fit for business purposes and cost‑effective.

• Recruit, interview, hire, and train new staff.
• Oversee the daily workflow of the department.
• Provide constructive and timely performance evaluations.
• Participate in budget planning and monitoring.

• 10+ years of experience in data engineering, data visualization, or software product development.
• Bachelor’s degree preferred in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronic Engineering, Mathematics, Statistics, Data Science, or related disciplines.
• 1–3 years of leadership experience managing direct reports.
• Tableau certifications preferred.
• Microsoft Certified Azure Data Fundamentals preferred.
• Snowflake Snow Pro Certification preferred.

• Strong understanding of programming languages such as SQL/T‑SQL, Python.
• Competence with relational and No
  
  SQL databases (e.g., SQL Server, Mongo
  
  DB).
• Design and implementation of OLAP databases to serve internal and external consumer use cases.
• Design and implement hybrid data cloud services using public cloud providers (Azure) and specialty providers (Snowflake).
• Understand and implement generative AI solutions within the context of developer assistance and data visualization product delivery.
• Support the development of enterprise data visualization strategy, ensuring rapid delivery while applying standards, principles, theories, and concepts.
• Support enterprise data governance initiatives.
• Strong experience in working with and optimizing enterprise reporting.
• Exceptional analytical skills and strong attention to detail.
• Ability to prioritize, plan, and take initiative.
• Highly self‑motivated and directed.
• Experience in a high availability environment preferred.
• Knowledge of ITIL/ITSM foundational practices preferred.
• Strong vendor‑management skills preferred.
• Knowledge of Salesforce Financial Services Cloud data object model preferred.
• Data Engineering Tools/Platforms:
  • Platform/Framework:
    Snowflake, Azure MSSQL.
  • Visualization:
    Tableau, Power BI, SSRS.
  • Governance:
    Data.
    
    World, Atlan, Alation.
• Problem‑solving and analytical skills: strong ability to analyze complex technical challenges.
• Sof…