Staff Data Engineer

The Staff Data Engineer is responsible for Software Development Engineering and performing work in the following areas:

Data Engineering & Data Modelling:

• Creating data architectures and logical/physical data models for databases and data warehouses
• Forge trusted partnerships and be an integral part of Data Engineering, Data Architecture & Platforms and Data Science teams to adopt, scale and build data products

Data Warehouse Development & Administration:

• Designing, developing, implementing, and maintaining a data warehouse to integrate data from various sources/systems within an organization
• Developing strategies for data acquisition, archive recovery, and database implementation
• Managing data migrations/conversions and troubleshooting data processing issues
• Focus on execution & delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data products
• Lead data engineering teams, building and improving next generation data & analytics capabilities within DevSecOps framework
• Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology
• Drive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutions
• Be an expert and a thought leader of how data and technology come together to empower the business
• Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics Using programming, scripting, and/or database languages to write the software code •Supporting software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements
• Applying knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations

Key Responsibilities

• Main accountabilities includes: •Designing, building, and maintaining data products and pipelines •Developing and deploying data models •Monitoring and troubleshooting data systems •Working with product owners, data scientists and other stakeholders to understand the business needs and to build data solutions that meet those needs •Keeping up with the latest trends in data engineering •Providing training on data engineering concepts and techniques to other members of the team •Writing documentation for data pipelines and data models •Participating in data governance initiatives.

What We Are Looking For

Required Qualifications

• Typically requires a minimum of 12 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 7 years and a Master degree in Computer or Software Engineering;
• Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.
• Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists.
• 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry
• 8-10 years of progressive experience with developing full stack Data Frameworks: ETL/ELT, data analysis, compute & storage, data pipelines, orchestration
• Minimum of 3 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake, Redshift) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python.
• 3+ years implementing data pipelines enabling data products through data mesh / fabric concepts
• Minimum of 3 years leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within DevSecOps model
• Ability define data pipelines to address data challenges: different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data.
• Proven track record leading multiple high-profile projects with demanding deadlines, changing requirements, and working with defined resources. Ability to estimate required effort and prioritize work items appropriately.
• Thrives on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
• Risk Management: Identify potential risks and challenges related to data and AI products and develop mitigation plans.

Desired Qualifications

• Conversant with Data & Analytics product management, Azure, SQL, Data Catalog
• Experience with unstructured data processing and real-time data pipelines
• Preferably from Retail or CPG industry

What’s In It For You

• Competitive Benefit Package
• Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More!
• Learning & Development Opportunities
• Employee Resource Groups

Kenvue is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.