Sr Data & Analytics Engineer

Fast Switch, Ltd.; Manchester (NH); Hybrid; USD 102,000 - 146,000; Full time

Job summary

Fast Switch, Ltd. seeks a Senior Data & Analytics Engineer to lead the Decision Ready Insights initiative and turn portfolio, financial, and delivery data into trusted, decision-ready insights.

This role combines hands-on data engineering with translating executive and operational needs into scalable reporting solutions, working with business, technology, and finance partners. Remote, 6-month contract with extensions; W2 rate $90/hr.

Qualifications

• 8+ years of experience in data engineering, analytics engineering, BI, or related discipline.
• Demonstrated experience designing enterprise data architectures and executive reporting solutions.
• Advanced SQL skills and 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.

Responsibilities

• Designs and implements the Decision Ready Insights data architecture and reporting model.
• Integrates portfolio, delivery, financial, benefits, KPI, and resource data from Planview, Azure DevOps (ADO), EWM, Finance, Power BI, and other approved enterprise sources.
• Establishes common identifiers, data relationships, authoritative-source rules, lineage, and ownership.
• Builds governed datasets, reusable semantic models, ETL/ELT pipelines, historical snapshots, KPI calculations, and trend logic.
• Assesses data quality and implements validation, reconciliation, monitoring, and remediation controls.
• Translates decision and reporting use cases into scalable solutions for executive leadership and cross-functional teams.
• Partners with business, technology, finance, and portfolio stakeholders to define requirements, metrics, and reporting priorities.
• Documents the target architecture, standards, operating model, and roadmap; transfers knowledge to internal teams.

Skills

SQL

Data modeling

Data governance

ETL/ELT

Data architecture

Executive communication

Tools

Azure Data Services

Power BI

SQL Server

Job description

Title: Senior Data & Analytics Engineer (Decision Ready Insights)
61908
Target rate: $90 hr w2
Contract Length: 6 months with possibility for extensions.
Location: Remote
***Candidates must work on our W2 without needing sponsorship at any time now or in the future
***We do not work with Corp to Corp in any manner including any form of referral bonus.
Position Overview

• Leads the technical foundation for “Decision Ready Insights” by designing data architecture, governed reporting models, and an analytics framework that turns portfolio, financial, and delivery data into trusted, decision-ready insights.
• Combines hands-on data engineering with the ability to translate executive and operational needs into scalable, governed reporting solutions (not a dashboard-only role).

Key Responsibilities

• Designs and implements the Decision Ready Insights data architecture and reporting model.
• Integrates portfolio, delivery, financial, benefits, KPI, and resource data from Planview, Azure DevOps (ADO), EWM, Finance, Power BI, and other approved enterprise sources.
• Establishes common identifiers, data relationships, authoritative-source rules, lineage, and ownership.
• Builds governed datasets, reusable semantic models, ETL/ELT pipelines, historical snapshots, KPI calculations, and trend logic.
• Assesses data quality and implements validation, reconciliation, monitoring, and remediation controls.
• Translates decision and reporting use cases into scalable solutions for EIC, Portfolio Leaders, Program Leaders, Delivery Teams, and EPMO Leadership.
• Partners with business, technology, finance, and portfolio stakeholders to define requirements, metrics, and reporting priorities.
• Documents the target architecture, standards, operating model, and roadmap; transfers 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.