Portfolio - Senior Data Engineer

Minimum Requirements

The selected candidate must possess:

• A minimum of three (3), and preferably four to seven (4 7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.
• Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions.
• Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.
• Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms.
• Experience gathering, analyzing, and documenting business requirements and translating those requirements into technical reporting and analytical solutions.
• Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures.
• Demonstrated experience analyzing portfolio, project, financial, operational, or governance data to support executive decision-making.
• Strong analytical and problem-solving skills with demonstrated experience performing root cause analysis, identifying trends, and making data-driven recommendations.
• Experience developing and optimizing SQL queries, data models, and data transformation processes.
• Excellent written and verbal communication skills with the ability to communicate technical information effectively to both technical and non-technical audiences.
• Demonstrated ability to work independently while managing multiple assignments, priorities, and stakeholder expectations.

Preferred Qualifications

Preference will be given to candidates with experience in one or more of the following:

• Project Portfolio Management (PPM) systems such as Clarity, ServiceNow PPM, Planview, Microsoft Project Online, or similar enterprise portfolio management platforms.
• Portfolio management, investment management, project governance, or executive portfolio reporting.
• Microsoft Power BI, Microsoft Fabric, Azure Data Factory, Azure SQL, Microsoft SQL Server, or comparable Microsoft analytics technologies.
• Enterprise data warehousing, semantic models, or business intelligence architecture.
• Developing automated reporting solutions using APIs, ETL processes, scripting languages, or data integration platforms.
• Government, public sector, or other large enterprise reporting environments.
• Project management methodologies including PMI PMBOK, Agile, Scrum, Kanban, or SAFe.
• Financial management, capital investment management, or portfolio performance reporting.

Education

• Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Management Information Systems, Mathematics, Statistics, Engineering, or another closely related field.
• Equivalent combinations of education, technical training, professional certifications, and directly related experience may be considered.

Desired Certifications

The following certifications are preferred but not required:

• Microsoft Certified: Power BI Data Analyst Associate
• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Azure Data Engineer Associate
• Microsoft Azure Database Administrator Associate
• Certified Business Intelligence Professional (CBIP)
• Project Management Professional (PMP)
• PMI Agile Certified Practitioner (PMI-ACP)
• Certified Data Management Professional (CDMP)