JOB SUMMARY

Implements data and analytics capabilities and platforms including the data management and integration capabilities, enterprise reference data, and analytics platforms across WBA. Offers the opportunity to work in a dynamic and fast-paced environment, driving innovation and leveraging cutting-edge technologies to solve complex data challenges.

Job Responsibilities

• Leads development of technical / business approaches and new or enhanced technical tools. Recommends the right tool and technology to deliver solutions objectively. Evaluates new technologies for continuous improvement.
• As a trusted technical leader at the Director level, this role influences planning strategy by integrating business and industry context into technology decisions. Sets standards for data solutions and engineering excellence within the organization.
• Designs data architectures that are efficient, stable, extensible, and adaptable over time. Simplifies data access, analyst processes, and technologies. Ensures solutions are resilient to failures, scalable, and maintain cost-effectiveness.
• Demonstrates exemplary coding practices in organization, clarity, simplicity, error handling, and documentation. Decomposes complex problems into straightforward solutions, tackling hard problems and acquiring expertise as needed. Proposes and manages multi-team projects, ensuring each team can work independently yet integrate seamlessly.
• Flexibly adapts approaches to meet team, project, or product needs. Solicits differing views, build consensus, and adjusts strategies based on new information.
• Balances time between coding, design, and architecture to maximize impact. Owns design and quality aspects of data solutions, including usability, governance, performance, availability, security, and operations.
• Leads design reviews for complex software and critical features, probes assumptions, identifies pitfalls, and fosters shared understanding. Aligns teams with coherent architectural strategies and educates the data engineering community on advanced technical issues and trends.
• Collaborates with data scientists, analysts, and other stakeholders to understand data requirements, design data models, and integrate strategic data-driven solutions into existing systems and processes.
• Stays abreast of emerging technologies, tools, and trends in data engineering and recommend strategic investments to enhance our data capabilities and competitive advantage.
• Defines and enforces data quality standards, governance policies, and best practices to ensure the accuracy, consistency, and security of data assets.
• Interacts with internal and external peers and management to share complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
• Mentors and coaches team members, acting as a Principal Advisor. Guides and mentors less experienced Team Members. Helps managers support their teams’ development, ensuring the organization benefits from a knowledgeable and skilled workforce.

BASIC QUALIFICATIONS

• Bachelor’s degree and at least 6 years of experience in data engineering; or graduate degree in a technical discipline with at least 3 years of experience in data engineering
• At least 5 years of experience working with SQL
• At least 3 years of experience with REST API development
• Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.
• Experience with programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Flink, or Hadoop.
• Experience presenting to all levels of an organization
• At least 5 years of experience contributing to financial decisions in the workplace.
• At least 5 years of direct leadership, indirect leadership and/or cross- functional team leadership.
• Willing to travel up to 10% of the time for business purposes (within state and out of state)

PREFERRED QUALIFICATIONS

• Experience deploying Python applications
• Experience with Azure application deployment
• Experience with messaging systems such as Kafka or Azure Event Hubs
  We will consider employment of qualified applicants with arrest and conviction records.
  Salary Range: $165900 - $282200 / Salarie

• Leads development of technical / business approaches and new or enhanced technical tools. Recommends the right tool and technology to deliver solutions objectively. Evaluates new technologies for continuous improvement.
• As a trusted technical leader at the Director level, this role influences planning strategy by integrating business and industry context into technology decisions. Sets standards for data solutions and engineering excellence within the organization.
• Designs data architectures that are efficient, stable, extensible, and adaptable over time. Simplifies data access, analyst processes, and technologies. Ensures solutions are resilient to failures, scalable, and maintain cost-effectiveness.
• Demonstrates exemplary coding practices in organization, clarity, simplicity, error handling, and documentation. Decomposes complex problems into straightforward solutions, tackling hard problems and acquiring expertise as needed. Proposes and manages multi-team projects, ensuring each team can work independently yet integrate seamlessly.
• Flexibly adapts approaches to meet team, project, or product needs. Solicits differing views, build consensus, and adjusts strategies based on new information.
• Balances time between coding, design, and architecture to maximize impact. Owns design and quality aspects of data solutions, including usability, governance, performance, availability, security, and operations.
• Leads design reviews for complex software and critical features, probes assumptions, identifies pitfalls, and fosters shared understanding. Aligns teams with coherent architectural strategies and educates the data engineering community on advanced technical issues and trends.
• Collaborates with data scientists, analysts, and other stakeholders to understand data requirements, design data models, and integrate strategic data-driven solutions into existing systems and processes.
• Stays abreast of emerging technologies, tools, and trends in data engineering and recommend strategic investments to enhance our data capabilities and competitive advantage.
• Defines and enforces data quality standards, governance policies, and best practices to ensure the accuracy, consistency, and security of data assets.
• Interacts with internal and external peers and management to share complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
• Mentors and coaches team members, acting as a Principal Advisor. Guides and mentors less experienced Team Members. Helps managers support their teams’ development, ensuring the organization benefits from a knowledgeable and skilled workforce