Senior Data Engineer

Advanced Drainage Systems

EEO Statement:

Advanced Drainage Systems is proud to be an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.


Senior Data Engineer

US-OH-Hilliard

Job ID: 2026-21183
Type: Regular Full-Time
# of Openings: 1
Category: IT
Advanced Drainage Systems

Overview

Advanced Drainage Systems is a leading manufacturer of stormwater and onsite septic wastewater solutions, committed to sustainability and innovation. With a vast manufacturing and distribution network, we deliver high-quality products across multiple industries while recycling over half a billion pounds of plastic annually. At ADS, we foster a culture where diverse perspectives drive better ideas, ensuring every employee feels valued, heard, and empowered to make an impact.

Responsibilities

Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build, and scale modern data pipelines and AI-ready data platforms that drive operational excellence, manufacturing insights, and advanced analytics across the enterprise.

This role will be a key contributor to ADS’s data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise reporting. The ideal candidate combines strong data engineering fundamentals with experience preparing data for AI use cases such as predictive maintenance, demand forecasting, and process optimization.

Key Responsibilities

Data Engineering & Platform Development

• Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks)
• Develop and maintain bronze/silver/gold data layers (medallion architecture) for analytics and AI consumption
• Integrate data from ERP, manufacturing systems, IoT sensors, and third-party platforms into a unified data environment
• Ensure high data quality, reliability, and performance across pipelines

AI & Advanced Analytics Enablement

• Engineer datasets optimized for machine learning and AI models
• Partner with data scientists and analytics teams to support predictive maintenance, demand forecasting, and anomaly detection use cases
• Implement data pipelines that support real-time or near-real-time analytics where applicable
• Enable feature engineering and model-ready datasets

Data Integration & Modernization

• Support migration from legacy platforms (e.g., SQL Server/SSAS) to modern cloud data platforms
• Build and maintain integrations using tools such as Informatica, APIs, and streaming frameworks
• Contribute to architecture patterns that enable scalable and reusable data products

Data Governance, Security & Quality

• Implement and enforce data governance standards, lineage, and metadata management
• Ensure compliance with data security and privacy policies
• Monitor and improve data quality and pipeline performance metrics

Collaboration & Business Alignment

• Partner with business stakeholders (Manufacturing, Supply Chain, Sales) to understand data needs
• Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets
• Translate business requirements into scalable data solutions

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 3–7+ years of experience in data engineering or data platform development
• Strong proficiency in SQL and Python
• Hands-on experience with cloud data platforms (Snowflake, Azure, or AWS)
• Experience building ETL/ELT pipelines and data models
• Familiarity with data warehousing concepts and medallion architecture

Preferred Qualifications

• Experience supporting AI/ML workflows or data science teams
• Knowledge of manufacturing, supply chain, or IoT data environments
• Experience with Informatica, Databricks, or streaming technologies (Kafka/Event Hub)
• Understanding of data governance frameworks and data quality tools
• Exposure to Power BI or modern BI tools

Key Competencies

• Strong problem-solving and analytical thinking
• Ability to balance speed, quality, and scalability in delivery
• Excellent communication skills across technical and business audiences
• Ownership mindset with focus on measurable outcomes and ROI

Why ADS

• Opportunity to help build a modern, AI-enabled data platform from the ground up
• Direct impact on manufacturing optimization, product innovation, and customer insights
• Work with a growing Enterprise Analytics team driving enterprise-wide transformation

Success Metrics (First 12 Months)

• Delivery of production-ready pipelines supporting key business domains
• Reduction in data latency and improvement in data quality
• Enablement of at least 2–3 high-value AI/analytics use cases
• Contribution to platform modernization milestones

#LI-CH1

#LI-Hybrid

Leadership Competencies



EEO Statement

ADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

EEO StatementADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.



Equal employment opportunity, including veterans and individuals with disabilities.

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