Data Architect
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
$50 - $55/hr
Centillion Infotech
Fitment
Dice Job Match Score™
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Job Details
Skills
- Data Architecture
- Enterprise Data Architecture
- Data Architect
- Data Mesh
- Data Mesh Architecture
- Data Product
- Data as a Product
- Data Product Operating Model
- Data Lake
- Data Lakehouse
- Enterprise Data Lakehouse
- Databricks
- Snowflake
- Microsoft Fabric
- Azure Data Platform
- AWS Data Services
- Google Cloud Platform
- GCP
- Cloud Data Architecture
- Data Governance
- Federated Data Governance
- Data Ownership
- Self-Service Data Platforms
- Data Contracts
- Interoperability
- Metadata Management
- Data Lineage
- Data Quality
- Data Observability
- Data Cataloging
- DataOps
- CI/CD
- Batch Processing
- Streaming Data
- API Integration
- Event-Driven Architecture
- BI
- Advanced Analytics
- AI/ML
- GenAI
- Data Platform Modernization
- Data Warehouse Modernization
- Cloud Migration
- Enterprise Architecture
- Reference Architecture
- Architecture Roadmaps
- Data Security
- Data Privacy
- Compliance
- Data Integration
- Data Engineering
- Domain-Oriented Architecture
- Enterprise Data Strategy
Summary
Data Architect
Location- Irving TX OR Tampa, FL
Data Mesh & Data Product Architecture
- Define and drive enterprise-wide Data Mesh strategy, architecture, and operating model.
- Establish domain-oriented data ownership and federated governance frameworks.
- Lead the design, lifecycle management, and adoption of Data Products.
- Define standards for data contracts, interoperability, metadata, lineage, quality, observability, and discoverability.
- Enable self-service data consumption and product-driven data delivery across business domains.
Data Lake / Lakehouse Architecture
- Design scalable cloud-native Data Lake/Lakehouse platforms supporting structured, semi-structured, and unstructured data.
- Define architectures for batch, streaming, API, and event-driven integration patterns.
- Create target-state architectures supporting BI, Advanced Analytics, AI/ML, and GenAI use cases.
- Lead modernization initiatives from legacy data warehouses and siloed platforms to modern cloud ecosystems.
Governance, Security & Quality
- Implement federated governance, privacy, security, and compliance controls by design.
- Establish enterprise standards for data quality, observability, lineage, cataloging, and monitoring.
- Ensure compliance with regulatory and enterprise security requirements.
Leadership & Stakeholder Management
- Develop reference architectures, roadmaps, standards, and reusable design patterns.
- Provide architecture leadership across business, technology, data engineering, governance, and cloud teams.
- Engage with CDOs, CIOs, business leaders, and domain owners to align architecture with business outcomes.
- Mentor architects and engineering teams on modern data architecture practices.
Required Experience
- 12+ years in Data Architecture, Data Engineering, or Enterprise Architecture.
- Proven experience implementing:
- Data Mesh Architecture
- Data as a Product Operating Models
- Enterprise Data Lakes/Lakehouses
- Federated Data Governance
- Self-Service Data Platforms
- Hands-on experience with cloud data platforms such as:
- Databricks
- Snowflake
- Microsoft Fabric
- Azure Data Platform
- AWS Data Services
- Google Cloud Data Platform
Strong knowledge of metadata management, lineage, data quality, observability, DataOps, and CI/CD
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91071044
- Position Id: 129-48189-1790096138
- Posted 3 hours ago
Company Info
Centillion Infotech LLC has served clients since 2017 from our US headquarters in Coppell, Texas, and our India office in Visakhapatnam, Andhra Pradesh. We work with organizations across the United States and India that need both the technology capability to change a system and the workforce capability to keep it running.
That combination is deliberate. Modernization programs stall when strategy, engineering and staffing sit with three parties who each own a fragment of the outcome.
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