Data Engineering Manager

Honeywell

Morris Plains, NJ

Full Time

Senior

23 days ago

Job Description

About the Role

As a Data Engineering Manager here at Advanced Materials, you will be responsible for leading technical development and delivery across our comprehensive data platform including Snowflake, ETL/ELT, DevSecOps, Cloud Infrastructure, Data Pipelines, and Data Lakes. You will drive innovation and technology strategy while providing technical mentorship to the team. You will report to our Director of Gen AI, Data & Analytics Leader who oversees our enterprise data strategy, delivery and platform operations. In this role, you will have significant impact on our technical architecture, roadmap innovation, and excellence in engineering. You will provide hands-on technical leadership while establishing best practices and driving continuous improvement.

Key Responsibilities

Lead development, delivery and support for Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and pipelines.
Manage and mentor technical contract service workers while establishing standards, innovative approaches and best practices, fostering excellence.
Implement cloud infrastructure and code management using Infrastructure as Code practices with comprehensive governance.
Oversee Metadata catalogs and report enhancement initiatives while establishing data quality standards.
Lead efforts in observability, and lineage tracking to maintain high integrity in AI/ML datasets.
Lead evaluation of emerging technologies and execute incremental modernization with minimal business disruption.
Drive technology roadmap with a first-principles mindset while leading standardization efforts using automation tools.
Establish frameworks for vendor management and technical escalation procedures with clear accountability.

Requirements

Bachelor's or Master's degree in computer science, Engineering, Applied Mathematics or related field.
Minimum 10 years of progressive experience in Data and Analytics, with a strong focus on engineering and enterprise-scale analytics platforms.
Expert-level proficiency in languages such as SQL, Python and Spark with advanced knowledge of modern data engineering tools and practices.
Strong knowledge of data modeling concepts like Change Data Capture, ETL/ELT processes and tools and data integration techniques and data governance.
Prior experience with enterprise-scale platforms including Snowflake or similar Data Warehouses, Databricks or similar AI/ML Platforms, Informatica Intelligent Cloud Services (IICS), HVR, Fivetran or similar Data Ingestion and Transformation Tools.

Nice to Have

Experience managing high-performing engineering teams and mentoring junior engineers in complex technical environments.
Hands-on experience with AI/ML platforms (Azure OpenAI, Databricks, MLOps) and implementing enterprise-scale machine learning solutions.
Experience implementing Infrastructure as Code (IaC) practices and end-to-end data observability solutions.
Strong ability to translate complex technical concepts to business stakeholders and drive consensus across diverse teams.
Domain knowledge of enterprise systems of records such as SAP for ERP, Salesforce for CRM and associated E2E processes.
Background in enterprise analytics with measurable business outcomes for domains such as Commercial, Finance, Supply Chain, Customer Experience.
Experience with enterprise-scale visualization platforms like PowerBI, Tableau or similar tools.
Advanced experience with Terraform/Bicep, Docker/Kubernetes, and cloud-native architecture.
Proven track record of driving technical innovation and leading transformational initiatives.
Familiarity with IT Operations, ITIL practices and other service management frameworks.
Ownership and pride in work and willingness to work in a diverse, cross-functional environment.