Lead Data Engineer

ANDERSEN CORPORATION SUMMARY:

At Andersen, we see possibility everywhere, every day and in everything we do. The possibility for our employees to achieve their full potential, for our communities to be stronger and for everyone to have a healthier, happier place to live.

Our portfolio of brands — Andersen Windows & Doors, Renewal by Andersen and Fenetres MQ — is crafted to serve customers across the new residential, home improvement and light commercial building sector.

Join our more than 13,000 employees who are inspired every day to deliver exceptional experiences that turn possibility into reality.

JOB DESCRIPTION:

Summary

The Enterprise Data Engineering team at Andersen Corporation is seeking an experienced Data Engineer to drive and elevate technical execution and provide architectural leadership across distributed onshore and offshore engineering teams. This role serves as the primary technical point of contact, ensuring complex data requirements are translated into scalable, resilient, and high performing solutions within a modern cloud-based analytics ecosystem centered on Azure and Snowflake

The ideal candidate will shape engineering standards, influence best practices across teams, and help drive operational excellence. This position collaborates closely with data delivery teams, solution architects, and platform partners to deliver world-class data products that fuel critical business priorities and support analytical, AI/ML, and data driven innovation.

Primary Responsibilities

• Technical Leadership & Coordination
  Serve as the primary technical leader for distributed engineering teams, translating business needs into detailed technical specifications while ensuring consistent adherence to engineering standards across teams located in multiple time zones.
• Data Architecture & Layered Framework Engineering
  Design and engineer a robust layered data framework using modern modeling techniques—including Data Vault 2.0 and Kimball—to optimize storage, resilience, and processing efficiency within a cloud-based analytics ecosystem.
• High Performance Data Products
  Build scalable, purpose-built datasets optimized for reporting, analytics, ML/AI, cross platform integration, and data product interoperability.
• Data Governance & Compliance
  Ensure adherence to data governance policies by implementing and validating data lineage, quality controls, classification, and other applicable governance standards..
• Data Platform Reliability & Operational Excellence
  Drive platform reliability through automated data workflows, end-to-end observability, proactive data health monitoring, and rigorous data quality enforcement.
• Cross Functional Collaboration
  Partner with solution architects, product owners, stakeholders, and business analysts to design and implement high quality data solutions that serve as foundational blueprints for broader engineering initiatives.
• Technical Communication
  Present complex technical concepts, architectural decisions, and methodologies to non‑technical business partners with clarity and precision.
• Continuous Improvement & Innovation
  Identify and champion opportunities to enhance development methodologies, tools, technologies, and technical processes—driving measurable improvements and fostering a culture of innovation.

Qualifications & Skills

• Bachelor’s or Master’s degree in technology (or equivalent experience).
• Minimum 10 years of experience designing, building, and optimizing large‑scale data solutions.
• Advanced proficiency in modern data architecture, performance tuning, and pipeline optimization with technologies such as Fivetran, Snowflake, and dbt.
• Experience with traditional and modern data warehousing technologies and cloud platforms (AWS/Azure/Cloud, Informatica, BOBJ, CI/CD tools, PowerBI).
• Strong understanding of agile methodologies (Scrum, Kanban) and collaboration tools (Jira, Confluence)
• Knowledge of Data Ops practices, automated release pipelines, and automated QA solutioning.
• Strong proficiency in Azure services across storage, compute, and DevOps/CI/CD.
• Exposure to functional programming such as python, scala for distributed processing.
• Proven experience engineering layered data frameworks using Kimball and Data Vault 2.0 modeling methodologies.
• Demonstrated leadership experience, including guiding engineering teams and performing technical code reviews.

Preferred Qualifications

• Experience with Azure Data Services (ADO, Blob Storage, Azure Functions).
• Experience with configuration or framework driven pipelines.
• Experience enabling AI/ML through robust data foundations for predictive analytics and generative AI use cases.
• Experience with advanced data governance, including automated privacy controls and metadata cataloging.

Compensation

Compensation is based on several factors, including work experience, education, certifications, and geographic location. Your recruiter will provide more information specific to your situation during the hiring process.
Successful candidates for this role are expected to earn $99,216 – $153,784 per year.

PAY RANGE:

$101,176.00 - $156,824.00

CULTURE AND BENEFITS:

At Andersen, we believe our people are at the heart of everything we do. Every day, their talent, dedication and passion enables us to be the most trusted window & door company. To support our employees, we provide a comprehensive Total Rewards Package – a thoughtful combination of pay and benefits that reflects our commitment to investing in each team member’s wellbeing and success. While specific benefits may vary by position or location, we’re proud to offer a comprehensive Total Rewards Package designed to support your well‑being, growth, and future. Our benefits include:

• 401 (k) Plan, Employer Fixed Contributions & Company Matching

• Profit Sharing*

• Medical, Dental and Vision Coverage*

• Flexible Spending Accounts (FSAs)*, Health Savings Account (HSA) and Health Reimbursement Account (HRA)

• Life Insurance

• Paid Time Off & Paid Holidays

• Paid Maternity Leave & Paid Parental Leave*

• Career Growth Planning & Nationwide Career Opportunities

• For employees covered by a collective bargaining agreement, some benefits may differ or may not be available based on the terms of the agreement.

PROFIT SHARING: In 2026 Andersen has set a profit-sharing target of $3,600 per eligible employee, prorated as appropriate. Profit Sharing will be paid out in quarterly installments to provide eligible employees with payments throughout the year, with payment amounts tied to quarterly operating profit performance.

EEOC EMPLOYER: Andersen is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, disability, marital status, national origin, citizenship, genetic information, protected veteran status, or any other characteristic protected by law. Andersen Corporation will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable federal, state and local laws.

We look forward to seeing how your unique skills, background and experiences will inspire our team and help us continue to be the leader we are today.