AVP Data Engineering At Infinity Consulting Solutions Chicago
The Manager or AVP of Data Engineering role is focused on strategic development and operation of the Data Lake, BI/data warehousing practice, and Machine Learning initiatives. Responsibilities include managing staffing requirements, designing solutions, optimizing processes and technology, and ensuring a high confidentiality, integrity, and availability of the enterprise data services.
The Manager of Data Engineering will work closely with business executives and stakeholders in other departments to identify, recommend, develop, implement, and support enterprise data and analytics solutions to deliver essential information to satisfy their information needs. The role will align very closely with the Data Governance team and processes to ensure efficient and responsive change management to changing business needs.
Responsibilities:
Strategy & Planning
- Work with stakeholders to define requirements, constraints, and goals
- Stay current on changes within the industry and communicate any alignment with company initiatives to interested parties
- Understand and adopt all relevant policies, standards, and procedures
- Make presentations to technical and non-technical stakeholders
- Establish standards, procedures, guidelines, and best practices related to the Data Lake and Client programs
- Lead discussions about short term tactical fixes vs. long term strategic goals to prioritize work
- Conduct research and remain current with the latest data technologies and solutions in support of future data management procurement efforts of the BI/EDW architecture
Acquisition & Deployment
- Consult resident and external subject matter experts to curate informed decisions
- Liaise with vendors for the procurement of new technologies and services
- Prepare budget proposals and operational expenditure statements
- Curate documentation related to architecture, infrastructure, and disaster recovery; make recommendations for improvements and/or alternatives
- Assist the business with machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Operational Management
- Delegate responsibilities to team members as appropriate
- Provide mentoring, training, and guidance to members of the team
- Promote and enforce standards, procedures, guidelines, and best practices
- Manage the deployment, monitoring, maintenance, development, upgrade, and support of the Data Lake and enterprise data infrastructure, including data architecture, data integration, high availability, security, and data privacy
- Ensure the efficient utilization of data resources
- Approve purchase of equipment and supplies to meet operational requirements of the business
- Analyze existing operations and make recommendations for the improvement and growth of the BI/EDW architecture
Role Specific Expectations
- 4 year college degree in information technology or equivalent experience
- 5+ years of database and data management experience.
- Extensive experience working within an agile/SCRUM environment
- Ability to leverage a broad stack of technologies — DataBricks, FiveTran, Python, AWS, SageMaker, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- An ability to adopt new ways of working and embrace new technologies and techniques
- Experience building or managing an enterprise Data Lake and/or Client program
- FiveTran, DataBricks, AWS or other related data certifications are highly preferred
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