Vice President of Data Engineering

About The Role

Our client is seeking a highly experienced and skilled VP of Data Engineering to join their team. The ideal candidate will deeply understand data architecture, cloud infrastructure and the ability to design and implement scalable, secure, and reliable data solutions.

Key Responsibilities

Lead the design, development, and implementation of data infrastructure solutions in multiple public Cloud platforms and services (Azure, AWS, and GCP) using industry standards and best practicesTranslate business needs into data models supporting long-term solutions using SQL and non-SQL databases on cloud-based platforms. Create and maintain conceptual, logical, and physical data models and corresponding metadata using best practices to ensure high data quality and access. Identify data gaps and enforce strong practices to close any data quality issues promptly; establish a single version of truth for reference data that benefits consumers. Contribute to and implement a strategy for data management in private and public clouds, leveraging cloud-native tools and techniques. Establish and keep up with Data Non-Functional Requirements (NFR) to ensure that metadata, data mappings, data lineage, and other related items meet the policy requirements for being complete, accurate, and consistent. Manage data as a strategic asset and operationalize data governance, data quality, data integrity, and controls across the organization. Introduce and propagate modern engineering practices around data, including reusable/configurable data quality and data access control frameworks. Drive consistency, efficiency, and cost benefits through establishing and continuously improving data management practices and standards. Stay current on the latest trends and technologies in data and cloud infrastructure.

Skills & Qualifications

10+ years of experience in data architecture and cloud infrastructure8+ years of experience with reference data management, business information architecture, analytics, business process re-engineering, and Product Management7+ of experience demonstrating expert-level knowledge of cloud architecture patterns (microservices, event-driven, serverless, API first and API gateways, service mesh, CQRS, stateless design)5+ years of data mapping and data lineage (create or analyze)3+ years of technical leadership in a data and technical environment, including Data Engineering, Data modeling, Metadata management, etc. A master's or bachelor's degree in computer science, information systems, or a related fieldStrong SQL and Python knowledgeStrong knowledge of business operational processes, data, and technology platformsAbility to prioritize deliverables and manage multiple complex work streams simultaneouslyExperience with data warehousing, data lakes, and data pipelinesFundamental knowledge of database systems (relational and object stores), including scaling, sharing, and replicationDeep understanding of monitoring and logging in Cloud environments, including retention and cost optimization strategiesAbility to create high-quality documentation about data architectural decisions, design rationale, and implementation guidelines. Secure Development Lifecycle and Agile Development Methodology using DevSecOps and CI/CD concepts and practicesInfrastructure as code and Continuous integration and delivery/deploymentDemonstrated ability to work well in a cross-functional environment with both technical and non-technical team members. Understanding of energy markets a plusExcellent communication and interpersonal skills