Associate Director, Data Engineering

time type

Full time

posted on

Posted Yesterday

job requisition id

JR82666

The Associate Director, Data Engineer , reporting the AVP, Enterprise Platform Owner , is a technical role that is accountable for the engineering of solutions for data and analytics capabilities within an Application Platform that will be delivered via a supplier. This role requires a high level of specialized knowledge and skill in Information Technology (IT) for applications that supports a single MVW Business Unit.

This role is pivotal in driving our data strategy, transforming our technology stack, and ensuring the seamless integration and maintenance of our data systems. This position applies technologies, procedures, methodologies, quality and security standards, which are in alignment with the Enterprise Architecture and Data Architecture standards or project specific architecture decisions. This position prepares technical engineering documents per the MVW Software Development Lifecycle that describe in technical terms and diagrams what needs to be delivered by a supplier

During the development phase, this position functions as a technical expert providing oversight of the supplier work to ensure delivered solutions align to what was engineered and meets MVW standards and quality expectations

Specific Expected Contributions

• Technical Requirements: Collaborate with business stakeholders to derive technical requirements from business needs.

• Solution Design: Architect and design scalable, efficient, and secure data solutions.

• Deployment: Lead the deployment of data solutions, ensuring they meet performance and reliability standards.

• Maintenance: Oversee the maintenance and optimization of data systems.

• Transformation: Drive the transformation to new technologies and architectures, ensuring alignment with business goals.

• Leadership: Mentor and lead a team of data engineers, fostering a culture of innovation and excellence.

• Collaboration: Work closely with cross-functional teams, including IT, analytics, and business units, to ensure cohesive data strategies.

• Compliance: Ensure all data solutions comply with industry standards and regulations.

• Innovation: Explore and implement new tools, techniques, and methodologies to enhance data engineering practices.

• Vendor Management: Manage relationships with vendors, including selection, contract negotiation, and performance evaluation.

• Security: Partner with security and data privacy teams to implement measures protecting data and ensuring system safety from cyber threats.

• Change Management: Drive change management initiatives to ensure smooth adoption of new systems and processes across the organization.

• Budget Management: Develop and manage the data engineering team budget, ensuring cost-effective solutions that deliver value to the business.

• Technical Oversight: Provide technical oversight during the development phase to ensure delivered solutions align with engineered specifications and meet quality expectations.

• Data Pipeline Design: Design efficient data pipelines (ETLs) that integrate data from various sources into the data warehouse.

• Documentation: Prepare technical engineering documents that describe in technical terms and diagrams what needs to be delivered by suppliers.

Specific Candidate Profile

Education

• Bachelor's degree required in technology, engineering, computer science, or statistical/math sciences or Bachelor of Science (BS) degree

Experience

• At least 8 years of progressive experience in technology data and analytics development including experience operating in a globally sourced operating model leveraging suppliers for data and analytics services.

• Technical knowledge and experience in managing service delivery on data and analytics platforms, custom database development or coding languages

• Experiencing working in a global sourcing model is a plus.

• Technical knowledge and experience in managing service delivery on data and analytics platforms, custom database development or coding languages

• trong background in data engineering, architecture, and leadership, with expertise in Oracle, SQL, AWS Redshift, and Informatica.

• Experience in cloud migration and hybrid cloud environments.

• Experience with big data technologies (e.g., Snowflake, Redshift, Heroku).

• Experience with additional data tools and technologies ( e.g. Hadoop, Spark, Python).

• Experience in driving organizational change and leading technology transformations.

Skills/Attributes

• Requires high level of specialized knowledge and skill in Information Technology (IT) for Data Services applications

• Able to exhibit a progression of increasingly complex applications and successfully lead and deliver complex IT projects

• Knowledge of data governance and security best practices.

• Familiarity with agile methodologies and continuous integration.

• Proven ability to apply advanced analytical, conceptual strategic planning, and execution skills to solve complex technical challenges.

• Expert level understanding of ETL fundamentals and building efficient data pipelines.

• Strong analytical, problem-solving, and communication skills. Ability to translate complex technical concepts into business-friendly language.

• Demonstrated ability to lead and mentor a team, manage projects, and drive strategic initiatives.

• Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs.