Data Engineering Manager

A trusted partner for millions of customers, Ecolab is a global sustainability leader offering water, hygiene, and infection prevention solutions and services that protect people and resources vital to life. We deliver comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, help maintain clean and safe environments, optimize energy use and implement smart water management strategies. Building on a century of innovation, our 48,000 associates support millions of customers in more than 170 countries around the world.

Global ADS serves the global supply chain community with data-driven business insights through analytics solutioning and strategic capabilities for business outcomes influencing their operational decision making.

Summary:

The Data Architect will play a strategic role in designing, optimizing, and scaling the enterprise data architecture that powers analytics, reporting, and advanced data products. This role partners closely with data engineering, analytics, business stakeholders, and platform teams to define modern data architecture patterns, ensure data quality, and develop scalable solutions on Snowflake, the organization’s enterprise data lake.

The ideal candidate combines deep technical expertise with strong business acumen, experience with cloud data platforms, and a passion for building robust, future-proof data ecosystems.

Key Responsibilities

Enterprise Data Architecture

• Design and maintain the end-to-end data architecture supporting enterprise analytics, data science, and reporting workloads.
• Define and enforce architectural standards, modeling strategies, and best practices across domains.
• Create logical, physical, and conceptual data models aligned with business processes and analytics use cases.
• Partner with data engineering and business teams to translate analytical needs into scalable data structures.

Snowflake Architecture & Optimization

• Architect and optimize data storage, compute usage, and data processing pipelines within Snowflake.
• Implement Snowflake-specific best practices including:
• Warehouse sizing and scaling strategies
• Clustering keys and micro-partitioning
• Secure data sharing and role-based access control
• Metadata and schema design within the enterprise data lake
• Establish data ingestion patterns using Snowpipe, Streams, Tasks, and Time-Travel capabilities.
• Optimize Snowflake cost, performance, and governance through ongoing monitoring and tuning.

Data Integration & ETL/ELT Architecture

• Design data integration patterns for batch, near-real-time, and streaming pipelines.
• Collaborate with data engineers to develop reusable ETL/ELT frameworks and workflow orchestration patterns.
• Ensure data pipelines are scalable, resilient, and aligned with architectural guidelines.

Data Governance & Quality

• Define data governance standards including naming conventions, data lineage, metadata, and quality checks.
• Partner with governance teams to implement master data, reference data, and security frameworks.
• Ensure compliance with enterprise security, privacy, and audit requirements.

Analytics & Business Enablement

• Collaborate with analytics, BI, and data science teams to ensure architectures support reporting, ML, forecasting, and AI use cases.
• Provide guidance on semantic layer design, KPI standardization, and self-service enablement.
• Act as a data domain advisor, helping teams make architecture-aligned decisions.

Technology Leadership

• Evaluate new tools, platforms, and methodologies to recommend improvements to the enterprise data ecosystem.
• Mentor data engineers and analysts on data modeling, architecture principles, and Snowflake best practices.
• Drive architectural reviews, data strategy discussions, and long-term roadmap planning.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related fields.
• 8+ years of experience in data engineering, data architecture, or analytics engineering roles.
• Strong expertise in Snowflake, including data modeling, optimization, performance tuning, and workload management.
• Hands-on experience with cloud platforms (Azure - Preferred).
• Strong SQL skills and understanding of ELT/ETL design patterns.
• Experience with data modeling methodologies (Star/Snowflake schema, Data Vault, etc.).
• Understanding of streaming and batch data pipelines.
• Familiarity with tools such as dbt, Airflow, Matillion, Fivetran, Informatica, or equivalent.

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Preferred Qualifications

• SnowPro Architect or SnowPro Advanced certification.
• Experience with enterprise BI tools (Power BI, Thought Spot).
• Understanding of modern data mesh, data fabric, and domain-oriented architecture concepts.
• Experience building analytics for supply chain

What’s in it For You:

• Opportunity to join a growth company offering competitive compensation and benefits.
• The ability to make an impact and shape your career with a company that is passionate about grooming talent for creating future leaders.
• The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best
• Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments.

Our Commitment to Diversity and Inclusion

Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. Our goal is to fully utilize minority, female, and disabled individuals at all levels of the workforce. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.