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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - INTL India ("Platform Engineer") - **Company:** Insight Global - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $33,280.0 - $45,760.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Audit Trail, Backup Devices, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Masking, Data Security, Data Sharing, Database Development, DevOps, Disaster Recovery, Electronic Data Interchange (EDI), Monitoring of Systems, Performance Tuning, Software Architecture, Query Optimization, Role-Based Access Control, Power BI, Data Streaming, Tableau (Software), Software Vulnerability Management, Data Logging, Cloud Platform System, Data Classification, Snowflake, Caching, Backend, Infrastructure Automation Frameworks, Data Lineage, Data Management, Software Version Control, Data Pipelines, Api Management - **Published:** June 23, 2026 - **Apply:** https://dejobs.org/x/x/C7E351FF35E94B359BBB65AB7D770509/job/ ## About the Role 10+ years of experience in data engineering and data platform architecture, with ownership of enterprise-scale data platforms Expert-level Snowflake experience, including backend architecture (warehouses, RBAC, resource monitors, cost controls), not just SQL development Proven ownership of end-to-end data flow from source systems through transformation, semantic layer, and consumption in Snowflake Deep experience designing and optimizing Snowflake performance and scalability, including warehouse sizing, clustering, concurrency, and query tuning Demonstrated success managing Snowflake cost optimization, usage monitoring, and chargeback/showback models Hands-on experience designing and maintaining semantic models using AtScale, including metrics, aggregates, caching, and BI integrations Strong understanding of enterprise metric governance and hardening definitions for consistent analytical usage Advanced experience with dbt, including project structure, modular modeling, testing, version control, and CI/CD pipelines Ability to architect and manage complex data pipelines integrating multiple source systems into Snowflake via dbt transformations Experience implementing data quality frameworks, monitoring, alerting, and data lineage across platforms Strong background in platform security and governance, including access controls, data masking, encryption, and audit logging Experience supporting AI/ML and advanced analytics workloads on Snowflake, including performance and scalability considerations Proven architectural leadership-ability to see the big picture, design for the future, and guide platform evolution by quarter Experience mentoring and collaborating with data engineers, analytics engineers, data science, and DevOps teams Strong communication skills with experience working from Chennai while collaborating with US-based stakeholders during overlapping hours New architect role ## Description · Design and maintain the overall data platform architecture integrating Snowflake, AtScale, and dbt components · Establish data quality frameworks and monitoring systems · Define platform scalability and performance optimization strategies · Design and implement Snowflake warehouse configurations and resource management policies · Manage user access controls, roles, and security policies within Snowflake · Optimize query performance through warehouse sizing, clustering, and partitioning strategies · Implement data sharing and collaboration features across business units · Monitor and control Snowflake costs through usage optimization and resource scheduling · Design and maintain data pipeline architectures for ingestion and transformation · Establish connection protocols between AtScale and various BI tools (Tableau, Power BI, etc.) · Optimize query performance through aggregate tables and caching strategies · Manage AtScale cluster configurations and scaling policies · Implement security models that align with organizational data access requirements dbt Development & Operations · Design and maintain dbt project structures and development workflows · Create and enforce dbt coding standards and documentation requirements · Implement dbt testing frameworks for data quality validation · Manage dbt deployment pipelines and environment promotion processes · Design modular dbt models that support reusability and maintainability · Establish version control and collaboration practices for dbt development teams Integration & Data Flow Management · Design end-to-end data pipelines connecting source systems to Snowflake via dbt transformations · Implement data lineage tracking across all three platforms · Create monitoring and alerting systems for data pipeline health and performance · Establish disaster recovery and backup procedures for the integrated platform · Design API integrations and data exchange protocols between platforms Team Leadership & Collaboration · Mentor and train data engineers and analysts on platform best practices · Collaborate with data science teams to support ML/AI workload requirements · Coordinate with DevOps teams on infrastructure automation and deployment practices · Lead architectural review sessions and technical decision-making processes Performance & Cost Optimization · Monitor and optimize compute resource utilization across all platforms · Implement cost allocation and chargeback models for different business units · Analyze query patterns and usage metrics to identify optimization opportunities · Design and implement automated scaling policies based on workload demands · Establish SLA monitoring and reporting for platform availability and performance Security & Compliance · Implement data encryption, masking, and anonymization policies · Ensure compliance with regulatory requirements (GDPR, HIPAA, SOX, etc.) · Design and maintain audit trails and data access logging · Coordinate security assessments and vulnerability management · Establish data classification and handling procedures across all platforms, Architect will need to collaborate with all engineers here and work with Debbie and team with US hours Architect responsible for entire platform Data flow- how it moves from one source to another and ends in Snowflake Cost optimization, performance, security Someone who knows Snowflake and not just developing in snowflake, but someone who knows the backend of developing in snowflake too Can look at big picture of things and think forward Projects and goals are set by quarter This quarter they are up to 22 different things they want to accomplish Some are business related, and then some are platform related, * Creating semantic models * Hardening our metrics ## 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