Data & Analytics Ld. Managing Consultant
Role details
Job location
Tech stack
Job description
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Develop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems.
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Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake.
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Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages.
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Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity.
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Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement.
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Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise.
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Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving.
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Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management.
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Formulate and maintain data models and establish policies and procedures for functional design.
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Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation.
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Stay informed about upgrades and emerging database technologies through continuous research.
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Collaborate with project managers and business leaders on all projects involving enterprise data.
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Document the data architecture and environment to ensure a current and accurate understanding of the overall data landscape.
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Design and implement data solutions tailored to meet customer needs and specific use cases.
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Provide thought leadership by recommending the most suitable technologies and solutions for various use cases, spanning from the application layer to infrastructure.
Requirements
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8+ years of hands-on experience with various database technologies (insert examples).
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6+ years of experience with Cloud-based systems and Enterprise Data Architecture, driving end-to end technology solutions.
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Ability to travel at least 25%.
Preferred Skills:
- Possess certifications in AWS, Azure, and GCP to complement extensive hands-on experience.
- Demonstrated expertise with certifications in Snowflake.
- Valuable "Big 4" Management Consulting experience or exposure to multiple industries.
- Undergraduate or graduate degree preferred.