As a Director of Data Engineering here at Honeywell, you will lead, guide, and mentor a team of accomplished data professionals, setting new industry standards for data governance, optimization, and strategic utilization. Your extensive expertise and visionary leadership will be instrumental in ensuring that Honeywell's data infrastructure not only supports but drives data-driven decision-making and operational excellence. By taking on the Director of Data Engineering role, you will redefine the future of data engineering and, in doing so, redefine the future of technological innovation.
You will report directly to our VP of Finance Digital Operations, and you'll work out of one of our US hub location(s) on a hybrid work schedule. Preferably this role will sit in either Atlanta, GA or Charlotte, NC.
In this role, your leadership and expertise will significantly shape and redefine our global data engineering strategies, setting new industry standards. By mentoring a team of accomplished data professionals, you'll drive data governance, optimization, and utilization to the highest level, ensuring that data becomes the pivotal force in our success. Join us in this crucial position and be a driving force behind reshaping the data landscape, where data isn't just managed; it's harnessed as a transformative resource, propelling us into a future where technological innovation and data excellence go hand in hand. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.
KEY RESPONSIBILITIES:
- As Director of Data Engineering, you will setup a high-performing global team that delivers contemporary data lake and data analytics solutions for all Honeywell business groups and functions.
- You will coach and lead teams to build, configure, and deploy data models and data pipelines to integrate data from various sources to deliver clean, reliable, and high-quality data assets.
- You will own the quality of the data ingested and treat data as a product.
- Build data products in finance domain that are reusable across the enterprise.
- You are curious about the data, you have a knack of exploring and analyzing data to gain the business understanding, establish data quality, summarize results, and communicate to others.
- You will develop solutions using various technologies like Spark, Databricks, Hive, ADLS, PostgreSQL on cloud.
- The software you write is reusable, maintainable and makes it to production in couple of sprints.
- You will work with a team of scrum masters, product owners, data architects, and data scientists to build products from the idea phase through launch and beyond.
- You will be responsible for Database systems development leading teams to deliver Database design requirements, Data modeling, Manage database performance Database systems support, Support Machine learning solutions.
- Ensure Cross team collaboration and nurture adoption of data products across the enterprise.
YOU MUST HAVE:
- 8-10 years of data engineering, business intelligence experience
- 3+ years of familiarity with BI/DW design principles and Dimensional modelling etc.
- Experience with SAP, SFDC or other enterprise applications that include functional and technical knowledge of the application data models and data domains.
- Experience in building analytics solutions using data from ERP, CRM enterprise systems like SAP, SFDC etc.
- Experience with exploring data using visualization tools such as Tableau and Power BI
- Experience in working on analytics projects with Agile and Scrum Methodologies
- Experience in working with remote and global teams and cross team collaboration.
- Good understanding of branching, build, deployment, CI/CD methodologies such as Octopus and Bamboo
- Working knowledge of schema design with NoSQL/Graph systems like Neo4J, MongoDB etc.
- Understanding of best-in-class model and data configuration and development processes
WE VALUE:
- Additional years of industry experience in leading data engineering
- Experience in design and deployment of data products in Databricks (Datalake) and Snowflake (Data Warehouse environments)
- Experience with building applications to process large data sets- structured and unstructured.
- Programming experience with Scala or PySpark on distributed computing platforms like Databricks
- Experience in writing complex SQL queries across large datasets.
- Experience using Azure cloud-based deployments.
- Bachelor's degree in STEM
ABOUT HONEYWELL
Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
BENEFITS OF WORKING FOR HONEYWELL
- Benefits – Medical, Vision, Dental, Mental Health
- Paid Vacation
- 401k Plan & Matching
- Career Growth
- Professional Development