sr data & analytics engineer.

job summary:
Position Overview

The EPMO is seeking a seasoned Senior Data & Analytics Engineer to lead the technical foundation for Decision Ready Insights. This role will design the data architecture, governed reporting model, and analytics framework that transform portfolio, financial, and delivery data into trusted insights for enterprise decision-making.

The ideal candidate combines hands-on data engineering expertise with the ability to translate executive and operational needs into scalable reporting solutions. This is not solely a dashboard-development role; it requires architecture, integration, governance, and delivery leadership.

 
 
location: Telecommute
job type: Contract
salary: $87 - 97 per hour
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:
Key Responsibilities

Design and implement the Decision Ready Insights data architecture and reporting model.

Integrate portfolio, delivery, financial, benefits, KPI, and resource data from Planview, Azure DevOps (ADO), EWM, Finance, Power BI, and other approved enterprise sources.

Establish common identifiers, data relationships, authoritative-source rules, lineage, and ownership.

Build governed datasets, reusable semantic models, ETL/ELT pipelines, historical snapshots, KPI calculations, and trend logic.

Assess data quality and implement validation, reconciliation, monitoring, and remediation controls.

Translate decision and reporting use cases into scalable solutions for EIC, Portfolio Leaders, Program Leaders, Delivery Teams, and EPMO Leadership.

Partner with business, technology, finance, and portfolio stakeholders to define requirements, metrics, and reporting priorities.

Document the target architecture, standards, operating model, and roadmap; transfer knowledge to internal teams.

Required Qualifications

8+ years of experience in data engineering, analytics engineering, business intelligence, or a related discipline.

Demonstrated experience designing enterprise data architectures and executive reporting solutions.

Advanced SQL skills and strong experience with dimensional modeling, semantic models, and ETL/ELT pipelines.

Hands-on experience with Azure data technologies and Power BI datasets, models, and reporting.

Knowledge of data governance, data quality, lineage, metadata, and source-to-report controls.

Ability to communicate complex technical concepts to executive and non-technical audiences.

Preferred Experience

Planview, Azure DevOps, EWM, portfolio management, or EPMO reporting.

Executive scorecards, KPI frameworks, investment governance, benefits realization, or financial reporting.

Delivering in an ambiguous, cross-functional enterprise environment.



What Success Looks Like

A trusted source-to-report architecture is established and documented.

Critical data definitions, ownership, and validation rules are consistently applied.

Manual reconciliation is reduced through governed, reusable data products.

Role-based reporting supports clear decisions, actions, and accountability.

A scalable technical foundation and prioritized roadmap are ready for continued delivery.

Candidate Profile

The successful candidate is a pragmatic architect and hands-on builder who can move from strategy to implementation. They will be comfortable challenging assumptions, resolving ambiguity, engaging senior stakeholders, and maintaining focus on actionable insight rather than dashboard volume.

 
qualifications:
Required Qualifications

8+ years of experience in data engineering, analytics engineering, business intelligence, or a related discipline.

Demonstrated experience designing enterprise data architectures and executive reporting solutions.

Advanced SQL skills and strong experience with dimensional modeling, semantic models, and ETL/ELT pipelines.

Hands-on experience with Azure data technologies and Power BI datasets, models, and reporting.

Knowledge of data governance, data quality, lineage, metadata, and source-to-report controls.

Ability to communicate complex technical concepts to executive and non-technical audiences.

 
skills:
Azure data,Analytics,data architecture,data governance,ELT pipelines,dimensional modeling,ETL,data engineering,integration design,metadata,Azure DevOps,ADO,Planview,Power BI,EWM,Advanced SQL skills,layer 4,Ability to communicate,decision-making,leadership,Authoritative,pragmatic,accountability,financial reporting,architecture,benefits realization,business intelligence,calculations,portfolio reporting,dashboard,data relationships,semantic models,data model,data quality,scalable reporting,data products,governance,KPI,financial,Finance,metrics,modeling,operating model,portfolio management,quality assessment,executive reporting,use cases,semantic,inventory,Technical documentation,target architecture


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.