Enterprise Data Architect Consultant
Position SummaryCG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design, build, and lead the implementation of a scalable, enterprise-wide data warehouse. This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision-making.The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals. This individual will also play a key leadership role in establishing data governance, master data management (MDM), and enterprise data standards.Key ResponsibilitiesEnterprise Data Architecture & StrategyDesign and implement a scalable, secure, and high-performance enterprise data warehouse from inceptionDefine the end-to-end data architecture, including data ingestion, transformation, storage, integration, and consumption layersEstablish architectural standards, frameworks, and best practices aligned with business and technology strategiesEvaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, warehouses) to support long-term scalabilityCross-Functional Discovery & Requirements AlignmentLead discovery sessions with business and technical stakeholders to identify high-value use cases, priorities, and dependenciesTranslate business requirements into technical data models, data flows, and architecture designsEnsure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needsDevelop and maintain a data roadmap with clearly defined phases, milestones, and deliverablesData Warehouse Development & DeliveryOversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third-party platforms)Define and implement data models (conceptual, logical, physical) to support analytics and reportingEstablish data quality frameworks and ensure reliability, consistency, and integrity of enterprise dataEnsure performance optimization and scalability of the data environmentData Governance & Master Data ManagementDevelop and implement enterprise data governance policies, standards, and controlsLead Master Data Management (MDM) initiatives to standardize key business entities across systemsDefine data ownership, stewardship, and accountability models across business unitsEnsure compliance with regulatory, security, and data privacy requirementsLeadership & Stakeholder EngagementAct as a trusted advisor to executive leadership, including the CTO and business leadersCommunicate complex technical concepts clearly to non-technical stakeholdersLead cross-functional teams, including data engineers, analysts, and business usersDrive adoption of data solutions across the organization through change management and stakeholder alignmentRequired Qualifications8+ years of experience in data architecture, data engineering, or enterprise data management rolesProven experience building an enterprise data warehouse from scratch spanning multiple systems and business unitsStrong experience with data modeling, ETL/ELT design, and data integration frameworksHands-on experience with cloud data platforms (e.g., Azure, AWS, or GCP)Demonstrated expertise in:Data Governance frameworksMaster Data Management (MDM)Data quality and metadata managementExperience leading discovery sessions and requirements gathering workshops with senior stakeholdersStrong understanding of enterprise systems (ERP, CRM, operational apps) and integration patternsExcellent communication, facilitation, and leadership skillsPreferred QualificationsExperience in consulting environments or multi-client, multi-business unit organizationsIndustry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations. Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau)Experience implementing data lakes, lakehouse architectures, or hybrid data ecosystemsKnowledge of Agile and iterative delivery methodologiesRelevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP)Success MetricsSuccessful delivery of a fully operational enterprise data warehouse aligned with business prioritiesMeasurable improvement in data accessibility, quality, and reporting capabilitiesAdoption of data governance and MDM practices across business unitsDelivery of a clear project roadmap with defined milestones, timelines, and outcomesPositive stakeholder feedback on alignment between business needs and technical solutionsPowered by JazzHRGPhuTLx1Vx