Senior Cloud Data Architect – Data Modeling & AWS

**FULLY REMOTE**

ScolerTec Inc. has multiple openings for Senior Cloud Data Architects – Data Modeling & AWS to support a large-scale federal cloud modernization and data transformation program.

The successful candidate will serve as a senior technical leader responsible for designing, implementing, governing, and improving cloud-based data architectures, data models, platforms, and integration patterns across the full data lifecycle.

This role requires deep hands-on experience with AWS data architecture, enterprise data modeling, cloud data platforms, data lakes/lakehouses/warehouses, ETL/ELT integration, data migration, governance, and high-availability data environments .

Key Responsibilities

• Design scalable and secure cloud-based data platforms supporting operational applications, reporting, analytics, and AI/ML.
• Architect data lake, lakehouse, and data warehouse solutions.
• Design logical, physical, dimensional, relational, NoSQL, GraphDB, and analytical data models .
• Establish enterprise data-modeling standards, naming conventions, patterns, and governance controls.
• Architect multi-tenant cloud environments supporting SQL, NoSQL, distributed SQL, streaming, IaaS, and PaaS technologies.
• Define secure operational data models supporting application features and service integrations.
• Establish integration patterns for ETL/ELT pipelines, APIs, downstream BI platforms, and data products .
• Work closely with data engineers to implement model-driven ETL/ELT solutions.
• Develop and maintain metadata, lineage, data classification, and architectural documentation.
• Design cloud data solutions using AWS data services and modern cloud architecture patterns.
• Support enterprise platforms including Snowflake, Databricks, AWS Redshift , or comparable technologies.
• Develop data migration and archival strategies including profiling, mapping, testing, validation, rollback, retention, and access controls.
• Design high-availability and disaster-recovery strategies.
• Support batch and real-time data integration.
• Evaluate data architecture technologies and provide recommendations to technical and customer stakeholders.
• Partner with Data Governance, Security, Application Development, BI, and Data Engineering teams.
• Mentor data engineers and data modelers.

Qualifications

• MA/MS with 12+ years of general information-systems experience and 10+ years of specialized experience, or equivalent experience as defined by the program.
• Deep experience designing enterprise data architecture using AWS data services .
• Extensive experience architecting enterprise data platforms supporting analytics, reporting, and AI/ML.
• Strong expertise in enterprise data modeling .
• Experience with relational, NoSQL, GraphDB, dimensional, and analytical modeling.
• Experience with data lakes, lakehouses, data warehouses, and CDC-enabled ingestion.
• Experience designing ETL/ELT and data integration patterns.
• Strong experience with cloud data platforms such as Snowflake, Databricks, or AWS Redshift .
• Experience modernizing legacy data platforms and leading cloud migrations.
• Knowledge of MDM, data governance, metadata management, lineage, and change data capture .
• Experience with batch and real-time data architectures.
• Experience in regulated or compliance-driven environments.
• Strong technical leadership and stakeholder communication skills.

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Data Engineer
• AWS Certified Data Analytics – Specialty
• Snowflake SnowPro Advanced
• Databricks Certified Data Professional
• Certified Data Management Professional (CDMP)