Group Lead - Data Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.

That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, DBT, ADF, Snowflake, Azure, Power Platform, Dataverse, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.

WHAT YOU’LL DO

As a Group Lead - Data Engineer, you will be leading a team of 7-10 Data Engineers that are all on cross-functional teams – disrupting from inside of a global powerhouse. Your team will be responsible for building data products that support data science, analytics, and automation for Kraft Heinz Digital. The data engineering team owns the implementation, data architecture, and data transformation. This is a leadership position that will have exposure across the entire business, influencing the vision and implementation of data architecture, design, and features for the data platforms. You will have great communication skills with technical and non-technical business partners. As a Leader, you will be leading a team of strong data and quality engineers to build out Kraft Heinz next generation data platform. This role will report to the Head of Software Engineering Furthermore, you will:

• Hire and develop the best Data Engineer's in the CPG industry
• Lead a team of 10-12 Data Engineer’s that are working in various agile pods
• Demonstrated experience initiating and leading enterprise data engineering initiatives

• Experience overseeing the ongoing operation of a data engineering team
• Development background in multiple large scale projects involving data integration
• Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
• Contribute to building generic frameworks for data ingestion- data processing- and data integrations
• Implements standard methodologies for software design- architecture- and implementation
• Implements monitoring tools/processes to ensure platform stability and operational SLAs
• Extends DevOps capabilities for deploying data solutions
• Acts as a data owner and functional data SME for the assigned area
• Proven track record to develop and deploy frameworks that can be demonstrated across the data practice using services provided by major cloud platforms
• Serve as an integral member of your Agile pod as a leader or advisor through identifying and solving complex challenges
• Evangelize the value of data-driven decision-making.
• Continue your growth and serve as a leading expert in the Data Engineering community 

WHO YOU ARE

• Bachelor’s Degree or higher in Computer Science or Information Technology or related field (Master’s degree preferred) or equivalent experience.
• 10+ years of related IT work experience including architecture, design, deployment and systems lifecycle development management.
• 3+ years of leadership experience in managing cross functional teams and direct management of teams.
• 2+ years of working building enterprise data solutions
• Strong technical background with cloud services within Azure- AWS- or GCP platforms (preferably Azure)
• Experience with analytical tools (preferably SQL- dbt- Snowflake- BigQuery- Tableau)
• Proven delivery experience working under an Agile/Scrum methodology