Senior Data Engineer

Sr. Data EngineerAdvanced Drainage Systems (ADS) is seeking a 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 ResponsibilitiesDesign 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 consumptionIntegrate data from ERP, manufacturing systems, IoT sensors, and third-party platforms into a unified data environmentEnsure high data quality, reliability, and performance across pipelinesAI & Advanced Analytics EnablementEngineer datasets optimized for machine learning and AI modelsPartner with data scientists and analytics teams to support predictive maintenance, demand forecasting, and anomaly detection use casesImplement data pipelines that support real-time or near-real-time analytics where applicableEnable feature engineering and model-ready datasetsData Integration & ModernizationSupport migration from legacy platforms (e.g., SQL Server/SSAS) to modern cloud data platformsBuild and maintain integrations using tools such as Informatica, APIs, and streaming frameworksContribute to architecture patterns that enable scalable and reusable data productsData Governance, Security & QualityImplement and enforce data governance standards, lineage, and metadata managementEnsure compliance with data security and privacy policiesMonitor and improve data quality and pipeline performance metricsCollaboration & Business AlignmentPartner with business stakeholders (Manufacturing, Supply Chain, Sales) to understand data needsWork closely with analytics engineers, BI developers, and SMEs to deliver trusted data assetsTranslate business requirements into scalable data solutionsRequired QualificationsBachelor's degree in Computer Science, Engineering, Data Science, or related field3–7+ years of experience in data engineering or data platform developmentStrong proficiency in SQL and PythonHands-on experience with cloud data platforms (Snowflake, Azure, or AWS)Experience building ETL/ELT pipelines and data modelsFamiliarity with data warehousing concepts and medallion architecturePreferred QualificationsExperience supporting AI/ML workflows or data science teamsKnowledge of manufacturing, supply chain, or IoT data environmentsExperience with Informatica, Databricks, or streaming technologies (Kafka/Event Hub)Understanding of data governance frameworks and data quality toolsExposure to Power BI or modern BI toolsKey CompetenciesStrong problem-solving and analytical thinkingAbility to balance speed, quality, and scalability in deliveryExcellent communication skills across technical and business audiencesOwnership mindset with focus on measurable outcomes and ROIWhy ADSOpportunity to help build a modern, AI-enabled data platform from the ground upDirect impact on manufacturing optimization, product innovation, and customer insightsWork with a growing Enterprise Analytics team driving enterprise-wide transformationSuccess Metrics (First 12 Months)Delivery of production-ready pipelines supporting key business domainsReduction in data latency and improvement in data qualityEnablement of at least 2–3 high-value AI/analytics use casesContribution to platform modernization milestonesCompany Benefits:Health & Welfare Benefits: Medical and prescription drug plans, telemedicine (with medical plan), High-Deductible Health Plan (HDHP) and Health Savings Account (HSA), dental and vision plans, virtual physical therapy*, an employee assistance program (EAP)*, and voluntary accident, critical illness, and hospital indemnification programs.Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan (voluntary), financial wellness planning*, paid parental leave*, flexible spending accounts (FSA) for child care and health care, short-term and long-term disability*, basic life insurance, accidental death and dismemberment (AD&D)*, adoption financial reimbursement*, tuition reimbursement*, voluntary life insurance (for employees, spouses, and children), and voluntary identity theft and fraud protection.*100% paid by ADS.Why Join ADS?Growth Opportunities & Global Presence: With a global network of approximately 70 manufacturing plants and 40 distribution centers, ADS offers extensive opportunities for career growth and development in various locations around the world.Inclusive and Creative Work Culture: ADS fosters a culture of passion, innovation, and continuous improvement, empowering employees to shape industry-leading solutions. We value diverse perspectives, recognizing that they drive better ideas, processes, and performance. Our workplace is built on respect, inclusivity, and shared responsibility, ensuring every team member feels valued and contributes to our collective success.Innovative & Sustainability Focused: Advanced Drainage Systems is one of the largest plastic recyclers in North America, ensuring over half a billion pounds of plastic is kept out of landfills every year.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.