Manager, Data Engineering at Westlake

Houston, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Chemicals, Manufacturing, Digital TransformationIndustries

Requirements

Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, Econometrics (or related field)

Responsibilities

Manage projects and deliver data pipelines for Data Science and Analytics projects within the Westlake Digital Program
Design, develop, and optimize scalable data architectures from various IT and OT data sources for digital applications and solutions
Solve complex data problems to provide valuable insights aligned with business goals
Lead a team of data engineers, architects, and scientists, ensuring efficient project execution and adherence to Agile methodologies and best practices
Collaborate with stakeholders, develop strategic roadmaps, enforce data standards, foster innovation, and align data initiatives with company objectives
Develop, engineer, and deploy data pipelines to deliver Analytic and Data Science solutions in collaboration with the Data Science team
Manage a team of internal and external data engineers, architects, and data scientists, ensuring efficient project execution and adherence to Agile project management methodologies and Software Development practices
Develop and implement strategic roadmaps for data architecture and engineering projects to align with long-term business objectives
Design, develop, optimize, and maintain scalable data architecture to meet long-term enterprise needs for a variety of data (structured, unstructured) from various sources (IT/OT), managed using different strategies (cloud, on-prem, hybrid), catering to diverse data consumers including analysts, users, data scientists, citizen developers, and applications
Proactively build data products and services in collaboration with the Data Science team to improve the productivity of the Digital Office
Collaborate with various stakeholders, including the Digital Office, manufacturing sites, and functional groups (supply chain, customer experience, logistics, procurement, controlling, IS/IT, etc.), to understand their data and insights needs and develop data architecture strategies accordingly
Develop and enforce data standards and data governance practices in collaboration with the Digital Office, ensuring compliance and educating users and stakeholders across the organization
Foster the development of reusable, scalable, and efficient data products, data services, and analytic solutions
Continuously improve data-related operational processes and documentation, implementing best practices and driving efficiency gains
Provide leadership, guidance, and mentorship to the data architecture and engineering team, fostering a culture of collaboration, innovation, and professional growth
Develop a staffing model for the Data Architecture and Data Engineering teams, ensuring the right talent is in place to support current and future projects
Collaborate with other managerial and executive stakeholders to align data architecture and engineering initiatives with broader company goals and strategies
Act as a representative of the data architecture and engineering function, resolving issues, and serving as a resource to corporate, plant, and project management