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Data Architect

Transcend IT SolutionsAtlanta, GA🇺🇸United StatesPosted Sep 17, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
19 hours ago
SQLAWSEncryptionSnowflakeAzureBigQueryDatabricksGoogle CloudRESTRedshiftVault

Job Description

Position Tittle: Data Architect
Location: Atlanta, GA Hybrid 
Duration: Long Term
 
Job Details
 
• Lead enterprise data architecture using Medallion Architecture (Bronze, Silver, Gold) to establish scalable, governed lakehouse and data-platform patterns.
• Define high-performance batch and streaming data pipelines, reusable architectural frameworks, design standards, and engineering best practices.
• Serve as the first architecture point of contact when projects or enhancements are initiated; lead early scoping, feasibility assessment, requirements clarification, and alignment with business expectations.
• Design secure cloud data solutions across AWS, Azure, and/or Google Cloud Platform, including RBAC, IAM, encryption at rest and in transit, zero-trust principles, secure data sharing, masking, and tokenization; partner with Information Security on cloud posture, controls, governance, and compliance.
• Lead Data Vault 2.0 implementation (Hubs, Links, Satellites); translate requirements into conceptual, logical, and physical models; and design optimized star/snowflake models with clear modeling standards and review practices.
• Architect governed data exposure and consumption through APIs, data sharing, semantic layers, BI integrations, and metadata services, with strategies for controlled access, democratization, lineage, observability, performance, and SLA adherence.
• Embed data governance and data-quality principles into platform design; define monitoring, catalog, lineage, and quality-control mechanisms.
• Maintain frequent cross-functional interaction with business stakeholders, technical architects, application owners, development users, engineering teams, and onshore source-system SMEs - including AXIS, MPS1, and Boarding/Servicing teams - to drive decisions and validate source-data requirements.
• Support analysis, triage, and research for production data issues during onshore hours, helping minimize outages, data inconsistencies, and business impact.
• Mentor engineering teams, provide architectural oversight, and work with vendors and system integrators to ensure implementation and design compliance.
 
Must Have Basic Qualifications
 
• Minimum 8+ years 🡪 Deep expertise in Medallion Architecture (Bronze, Silver, Gold), enterprise lakehouse design, Data Vault 2.0, and advanced conceptual, logical, and physical data modeling.
• Minimum 5+ years 🡪 Strong understanding of enterprise data exposure and consumption strategies, including APIs, data sharing, semantic layers, and BI integration patterns.
• Minimum 5+ years 🡪 Strong experience with AWS, Azure, and/or Google Cloud Platform, hands-on cloud security architecture, and modern lakehouse/analytical platforms such as Databricks, Snowflake, BigQuery, and/or Redshift.
• Minimum 8+ years 🡪Strong SQL and distributed data processing knowledge, with experience designing both batch and streaming architectures and working with orchestration tooling.
 
Nice to have 🡪 Minimum 2+ years 🡪 Knowledge of IAM, RBAC, masking, tokenization, encryption, secure sharing, and zero-trust principles, with experience embedding governance, metadata, lineage, observability, data quality, and compliance controls.
• Demonstrated ability to communicate architecture clearly, influence cross-functional teams, and work onshore in Atlanta with a minimum of 3 days per week in the office.
• Availability during core U.S. business hours for workshops, ad-hoc discussions, source-system coordination, and production issue triage.
Travel: As required based on project and client needs; primary work location is Atlanta, Georgia.
Degree: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent work experience.
 
 
Nice to Have; (But not a must)
 
• 12+ years of experience in Data Architecture and/or Enterprise Data Engineering, with experience leading large-scale enterprise data transformation programs.
• Cloud Architect certification in AWS, Azure, and/or Google Cloud Platform.
• Data Vault 2.0 certification.
• TOGAF or equivalent architecture certification.
• Experience in regulated industries.
Leadership & Behavioral Competencies
• Strong architectural thinking and systems-design capability.
• Excellent stakeholder communication and facilitation skills.
• Strategic mindset with strong execution orientation.
• Ability to influence cross-functional teams and drive architecture decisions.
• Mentorship and team-development experience.
 
Success Criteria
 
• Establish a scalable, secure Medallion-based data architecture with clear Bronze, Silver, and Gold design patterns.
• Successfully implement Data Vault modeling at enterprise scale.
• Establish secure, governed, performant data exposure frameworks for downstream consumers.
• Drive adoption of standardized data modeling, security, governance, metadata, lineage, and data-quality practices.
• Enable real-time collaboration with onshore stakeholders and rapid response to production and operational issues.
 
Why Join Us
 
• Opportunity to shape enterprise data strategy and architecture standards.
• Work on modern cloud-native data and lakehouse platforms.
• Influence large-scale digital and data transformation initiatives.
• High leadership visibility and strategic impact across business and technology teams.
 

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