Data Architect - Advanced

We are seeking a highly experienced Data Architect (Advanced) to provide enterprise-level architecture leadership for a large-scale Data & Analytics Platform. The ideal candidate will have deep expertise across data warehousing, data lakes/lakehouse architectures, cloud platforms (AWS), data governance, analytics, and security, with the ability to translate complex technical concepts to business stakeholders. This role requires strong hands-on technical depth combined with strategic thinking, stakeholder collaboration, and leadership across data initiatives. Required Qualifications Bachelor's degree (4-year) in Computer Science, Data Science, Analytics, Information Systems, Business Administration, Public Health Informatics, or a related fieldCurrent Data/Analytics certification (eg, CDMP)OR 18+ hours of data & analytics-related webinars/conferences within the last 3 years Experience Requirements 5+ years working directly with business stakeholders; strong understanding of business operations (healthcare experience preferred)6+ years architecting, engineering, implementing, and supporting enterprise data warehouses, including 2+ years with Snowflake3+ years architecting and supporting cloud-based data lakes (AWS S3, Parquet, layered lake architecture)2+ years architecting lakehouse platforms (Databricks, Snowflake, Delta Lake, Hudi, Iceberg)10+ years of data modeling experience (Conceptual, Logical, Physical, ERD) including schema-on-read and schema-on-writeProficiency with erwin Data Modeler required6+ years working with data integration and pipeline tools (ETL, CDC, streaming) such as:Informatica, AWS Glue, MuleSoft, Spark, Kafka, Kinesis6+ years of advanced SQL3+ years of Python or similar object-oriented language1+ year of AWS Lambda development5+ years designing and engineering relational (row & columnar) and NoSQL databases (Document, Graph, Key-Value, Vector)3+ years designing AWS cloud infrastructure in collaboration with infrastructure and security teams3+ years implementing data security, privacy, and access controls (RBAC/ABAC, HIPAA-focused compliance)3+ years designing and implementing data sharing hubs and APIs2+ years experience with DevOps/DataOps practices5+ years of data testing, QA, and validation, including automation3+ years implementing data governance tools:2+ years implementing Master Data Management (MDM) solutions4+ years implementing Analytics & BI platforms (Power BI, Tableau, Qlik)2+ years implementing Data Science & Machine Learning platforms (SageMaker, SAS Viya, Dataiku) Key Responsibilities Serve as Data Architecture SME for enterprise data and analytics initiativesAnalyze and reverse-engineer source systems to understand current-state data models, flows, and quality issuesLead collaborative sessions to design current and future-state ERDs and data modelsDefine and document enterprise data architecture, standards, and integration patternsDevelop and enforce data quality rules (accuracy, completeness, timeliness, consistency, validity, uniqueness)Support development of data strategy and roadmap aligned with business goalsProvide architectural guidance across:Data warehouseData lake & lakehouseData integrationData governance & MDMSecurity & complianceReview and validate testing strategies and QA plans for data solutionsCollaborate with technical and business teams to ensure scalable, secure, and compliant data solutions Web Reference : AJF/935573509-202 Posted Date : Mon, 04 May 2026 Please note, to apply for this position you will complete an application form on another website provided by or on behalf of SGS Technologie.

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