Enterprise Data Foundation & Automation Engineer II

Enterprise Data Foundation & Intelligent Automation Engineer II

The Enterprise Data Foundation & Intelligent Automation Engineer II is responsible for developing, maintaining, and optimizing analytical data models, pipelines, and automation solutions. This role strengthens the organization’s data foundation, improves data maturity, and supports data‑driven decision‑making across the enterprise.

• Develop and maintain high‑quality data pipelines, models, and automation solutions in line with Analytics Modeling ELT principles.
• Implement data quality frameworks and data governance best practices to ensure reliable and trusted data assets.
• Solve data engineering challenges to enhance business intelligence and operational efficiency.
• Build reusable data products to support product managers, data scientists, and business teams in decision‑making processes.
• Collaborate with data engineers, machine‑learning engineers, and solution architects to support scalable and optimized enterprise data solutions.
• Contribute to AI‑first initiatives and Robotic Process Automation (RPA) to improve efficiency across the analytics data value chain.
• Partner with key stakeholders to support automation and optimization of business processes through Business Process Automation (BPA).
• Research and evaluate emerging data technologies and automation tools to improve data engineering efficiency.
• Promote a culture of continuous learning, innovation, and collaboration within the data engineering domain.
• Event‑based updates and changes to this job description may be made as business needs evolve.

• Minimum Qualifications
  • 2 years of experience in technology consulting, data analytics, or related fields.
  • 2 years of experience supporting operations or strategy functions.
  • Experience may include a combination of work experience and education.
• Preferred Qualifications
  • 4 years of experience in technology consulting, data analytics, or related fields.
  • 4 years of experience in operations or strategy functions.
  • 2 years of experience managing projects.
  • Experience may include a combination of work experience and education.

• Proficiency in ELT, SQL, and at least one programming language (Python, R).
• Experience developing and maintaining data warehouses and big data solutions (Snowflake, Hadoop, Spark, Big Query).
• Understanding of cloud computing services for data and analytics solutions.
• Experience working with relational, No
  
  SQL, and cloud‑based databases.
• Knowledge of data governance, dimensional modeling, and structured/unstructured data management.
• Exposure to machine learning, artificial intelligence, and statistical methodologies.
• Familiarity with agile methodologies and experience in cross‑functional teams.
• Strong problem‑solving skills with the ability to simplify technical concepts for broader organization understanding.
• Passion for technology, innovation, and continuous learning.
• Ability to foster a culture of collaboration, transparency, and trust.

• Lead Like an Owner
  • Provides strategic input and oversight to departmental projects.
  • Skilled in reducing costs and managing timelines while prioritizing long‑term impact.
  • Leads and facilitates discussions to achieve positive outcomes for the customer.
  • Makes strategic, data‑driven decisions that prioritize the needs of the customer over departmental or individual goals.
• InnovACT
  • Continuously evaluates existing programs and processes, developing new initiatives to increase efficiency and reduce waste.
  • Creates, monitors, and responds to departmental performance metrics to drive continuous improvement.
  • Communicates a clear vision, organizes resources effectively, and adjusts strategy as needed when managing change.
• Find a Way
  • Demonstrates analytical thinking and synthesizes complex information.
  • Effectively delegates technical tasks to subordinates.
  • Works effectively with departments, vendors, and customers to achieve organizational success.
  • Identifies opportunities for collaboration in strategic ways.
• Empowered to be Great
  • Engages in