About this opportunity
SGS Technologie lists this Data Architect (Advanced) opportunity in tallahassee, Florida. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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 field
Current Data/Analytics certification (e.g., 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 Snowflake
3+ 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-write
Proficiency with erwin Data Modeler required
6+ years working with data integration and pipeline tools (ETL, CDC, streaming) such as:
Informatica, AWS Glue, MuleSoft, Spark, Kafka, Kinesis
6+ years of advanced SQL
3+ years of Python or similar object-oriented language
1+ year of AWS Lambda development
5+ 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 teams
3+ years implementing data security, privacy, and access controls (RBAC/ABAC, HIPAA-focused compliance)
3+ years designing and implementing data sharing hubs and APIs
2+ years experience with DevOps/DataOps practices
5+ years of data testing, QA, and validation , including automation
3+ years implementing data governance tools :
2+ years implementing Master Data Management (MDM) solutions
4+ 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 initiatives
Analyze and reverse-engineer source systems to understand current-state data models, flows, and quality issues
Lead collaborative sessions to design current and future-state ERDs and data models
Define and document enterprise data architecture , standards, and integration patterns
Develop and enforce data quality rules (accuracy, completeness, timeliness, consistency, validity, uniqueness)
Support development of data strategy and roadmap aligned with business goals
Provide architectural guidance across:
Data warehouse
Data lake & lakehouse
Data integration
Data governance & MDM
Security & compliance
Review and validate testing strategies and QA plans for data solutions
Collaborate with technical and business teams to ensure scalable, secure, and compliant data solutions
#J-18808-Ljbffr
Worksite address
tallahassee, FL, 32318, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.