Technical Systems Lead

This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants.

Further your career at Ball, a world leader in manufacturing sustainable aluminum packaging. Achieve extraordinary things when you join our team, and make a difference in your professional development, the community, and around the globe!

Ball is thrilled to receive Newsweek's 2023 Top 100 Global Most Loved Workplace award! As a sustainable product leader, we have over 16,000 global team members. From endlessly recyclable aluminum cans, and cups, to aerosol bottles, our goal is to contribute to a better community, society, and world.

Primary purpose of the position:
The Data Engineer position will work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions. Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Azure Databricks, etc.). Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, production support. Collaborate within a team environment as well as work independently. Be a part of a DevOps team that completely owns and supports their product. Implement batch and streaming data pipelines using cloud technologies. Understands and follows development of coding standards, best practices and privacy and security guidelines.

Essential Responsible Areas:

• Architectural understanding of data movement techniques including replication, messaging, , and near real time data transfer
• Understanding of backend infrastructure 
• Knowledge of security approaches and tools for data storage, movement and access
• Perform Data Acquisition requirements/information gathering and design cost-effective data acquisition patterns
• Provides guidance regarding the use of data engineering tools, capability of tools to deliver information, and subject matter expertise regarding current systems and emerging technology. 
• Lead governance and enforcement of data pipeline patterns and  standards
• Analyze and recommend changes to increase productivity level of developers in working environment.
• Understanding user needs as well as understanding the technical requirements and limitations when building platform services. 
• Managing cross dependencies across teams to ensure alignment, as well as adjusting team directions when gaps exist 
• Aligning with the strategy vision for various platform components and related services to increase adoption and deliver business results
• Defines and promotes best practices and design principles for data engineering pipelines development  techniques and architecture independently and in partnership with other members of the data team leadership
• Develops and proposes options with pros/cons and risk, and works with stakeholders to finalize the best solution that meets business needs. 
• Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, within IT, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.
• Understand the underlying technologies and applications utilized within specified area of responsibility to direct how to design, develop, test, and implement requirements.

Professional & Education Qualification:

• BA/BS in Computer Science or an equivalent combination of education and/or experience 
• 5+ years of related work experience with progressively increasing responsibility 
• Experience creating core BA deliverables (e.g., functional spec, test cases, etc)

Skills:  

• 5+ years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions· 
• 2 years of experience with cloud development and data lake experience (prefer Microsoft Azure) including