Assistant Vice President - Data Architect

Job Description (JD) – Data Architect Position Title Data ArchitectExperience 12-15 YearsLocation Remote/HybridEmployment Type Full-TimeRole Overview We are seeking an experienced Data Architect with 12-15 years of experience in designing and implementing enterprise-scale data platforms, data architectures, and data management solutions. The ideal candidate will possess strong expertise in data modeling, data warehousing, big data ecosystems, cloud data platforms, and modern data architecture frameworks.The Data Architect will be responsible for defining the organization's data strategy, designing scalable and secure data solutions, establishing best practices, and providing architectural leadership to data engineering, analytics, and business teams.Key Responsibilities Define and implement enterprise data architecture strategy aligned with business objectives.Design scalable, secure, and high-performing data platforms supporting analytics, reporting, AI/ML, and operational workloads.Develop conceptual, logical, and physical data models for enterprise applications.Architect enterprise data warehouses, data lakes, lakehouses, and modern data platforms.Establish data governance, metadata management, data quality, and master data management frameworks.Lead the design of data integration and ETL/ELT architectures across multiple systems.Define standards, best practices, and architectural guidelines for data management.Collaborate with business leaders, enterprise architects, and technology teams to drive data transformation initiatives.Evaluate emerging technologies and recommend innovative data solutions.Provide technical leadership and mentorship to data engineering and analytics teams.Ensure compliance with security, privacy, and regulatory requirements.Required Technical Skills Data Architecture & Design Strong expertise in: Enterprise Data ArchitectureData Strategy & RoadmapsData Integration ArchitectureInformation ArchitectureReference Architecture DevelopmentData Modernization ProgramsData Modeling Extensive experience with: Conceptual Data ModelingLogical Data ModelingPhysical Data ModelingDimensional ModelingData Vault 2.0Star & Snowflake SchemasProficiency with data modeling tools such as: ErwinER/StudioPowerDesignerVisioData Warehousing & Data Lakes Strong experience designing: Enterprise Data WarehousesData LakesLakehouse ArchitecturesOperational Data Stores (ODS)Data MartsDeep understanding of: Data Lifecycle ManagementMetadata ManagementData LineageCloud & Modern Data Platforms Strong experience in one or more cloud platforms:Microsoft Azure Azure Data FactoryAzure Synapse AnalyticsAzure Data Lake StorageMicrosoft FabricAzure DatabricksAmazon Web Services (AWS) S3GlueRedshiftEMRAthenaGoogle Cloud Platform (GCP) BigQueryDataflowDataprocCloud StorageBig Data & Data Engineering Strong understanding of: Hadoop EcosystemSpark / PySparkHiveKafkaDelta LakeExperience designing large-scale batch and real-time data processing architectures.Database Technologies Experience working with:SQL ServerOraclePostgreSQLSnowflakeTeradataMySQLStrong expertise in:Database DesignQuery OptimizationData PartitioningPerformance TuningData Governance & Security Strong knowledge of: Data Governance FrameworksMetadata ManagementData CatalogingData Quality ManagementMaster Data Management (MDM)Data Privacy RegulationsExperience implementing: Role-Based Access Control (RBAC)Data Security PoliciesData Compliance FrameworksArchitecture & Integration Skills Experience with: Enterprise Integration PatternsAPI-Based Data IntegrationEvent-Driven ArchitectureMicroservices ArchitectureData Mesh ConceptsData Fabric ArchitectureAbility to create architecture artifacts, solution blueprints, and data flow diagrams.Leadership Responsibilities Lead enterprise data architecture discussions and governance forums.Mentor Data Architects, Data Engineers, and Technical Leads.Drive architecture reviews and design approvals.Support pre-sales activities, solution proposals, and technical estimations.Engage with executive stakeholders to define long-term data strategies.Establish architecture standards and reusable frameworks across projects.Preferred Skills Experience with: SnowflakeDatabricksMicrosoft FabricInformaticaTalendCollibraAlationExposure to: AI/ML Data PlatformsGenerative AI Data ArchitectureData Observability PlatformsFamiliarity with: DevOpsCI/CDInfrastructure as Code (Terraform)Soft Skills Strong leadership and strategic thinking abilities.Excellent stakeholder management and communication skills.Ability to present architectural solutions to executive leadership.Strong analytical and problem-solving capabilities.Proven ability to lead large-scale enterprise transformation initiatives.Educational Qualifications Bachelor's or Master's Degree in: Computer ScienceInformation TechnologyData EngineeringEngineering or related disciplinePreferred Certifications TOGAF CertificationMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure Data Engineer AssociateDatabricks Certified Data Engineer ProfessionalAWS Certified Solutions Architect ProfessionalGoogle Professional Data EngineerSnowflake SnowPro CertificationKey Competencies Enterprise Data ArchitectureCloud Data ArchitectureData ModelingData Warehousing & Lakehouse DesignBig Data ArchitectureData Governance & MDMData Security & ComplianceData Integration ArchitectureStakeholder ManagementTechnical Leadership & MentoringIdeal Candidate Profile A highly experienced Data Architect with 12-15 years of experience in designing enterprise-scale data ecosystems, defining data strategy, architecting modern cloud-based data platforms, and leading large transformation programs. The candidate should possess exceptional expertise in data architecture, governance, data modeling, cloud platforms, and modern analytics solutions, along with the ability to provide strategic leadership and drive enterprise-wide data initiatives.Bachelor's or Master's degree in Computer Science, Engineering, Product Design, or a related field. 8-12 years of experience in product development or engineering.Oversee organizational product development. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.Full timePosting Date: 2026-09-28