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Snowflake Solutions Architect

Diverse Lynx
  • US
    United States
  • US
    United States

À propos

Snowflake Solutions Architect - AWS Data & Analytics | Power BI | Amazon Bedrock Union Beach New Jersey (Hybrid) Rate: $64/hr.
Role Summary We are seeking a hands-on
Snowflake Solutions Architect
to design and lead modern, scalable data platforms on
Snowflake + AWS Analytics services , enable governed analytics through
Power BI semantic models , and accelerate GenAI use cases using
Amazon Bedrock (Agents/Knowledge Bases/Guardrails) . The role will partner with business and engineering teams to define architecture, guide implementation, and ensure security, performance, and cost-efficiency across the data and AI landscape. Key Responsibilities 1) Solution Architecture (Snowflake + AWS Analytics)
Own end-to-end architecture for cloud data platforms leveraging
Snowflake
and AWS-native analytics services (e.g., S3, Glue, Lake Formation, Athena, Redshift, EMR/Kinesis/MSK as applicable). Define target-state patterns for
historical + incremental loads , batch/real-time ingestion, and scalable transformations using tools like
dbt
and orchestration frameworks (e.g., Airflow). Design
Lakehouse / Medallion
style architectures and integration approaches between AWS data lake and Snowflake analytics marts, including modern table formats (e.g., Iceberg where applicable). Lead architecture reviews, trade-off decisions (performance/cost/security), and ensure solutions meet non-functional requirements. 2) Data Engineering Enablement & Integration
Guide teams on building robust ELT/ETL pipelines, metadata management, and data quality controls (audit, reconciliation, balance/control frameworks). Establish best practices for
Snowflake performance tuning , query optimization, and workload management. Define ingestion patterns from enterprise sources (e.g., SAP and other systems) into AWS/Snowflake using standard integration approaches 3) Analytics & BI (Power BI)
Architect and govern
Power BI semantic models/datasets , ensuring consistent metrics ("single version of truth"), strong performance, and reusability. Implement enterprise-grade security for BI (e.g.,
Row-Level Security (RLS) , access controls, dataset governance) aligned with data platform security design. Partner with BI developers and stakeholders to deliver scalable reporting patterns and lifecycle governance (certification, promotion, workspace standards). 4) GenAI Architecture (Amazon Bedrock)
Design GenAI solution patterns using
Amazon Bedrock , including
Agents ,
Knowledge Bases (RAG) , and safe deployment controls using
Guardrails . Define agent tool/action patterns (action groups), retrieval grounding strategy, and observability/tracing for production readiness. 5) Security, Governance & Compliance
Implement fine-grained access control across the lake/warehouse ecosystem and enforce governance controls for data access and auditability. Define governance integration approaches beyond native capabilities when needed (catalog/lineage tools, stewardship workflows). 6) Stakeholder Leadership & Delivery
Lead technical discovery, translate business needs into architecture, and produce design artifacts (HLD/LLD, roadmaps, standards). Mentor engineers, enforce engineering standards, and collaborate across product, platform, security, and operations teams. Required Qualifications (Must Have) Experience
10+ years in data platform / analytics architecture (or equivalent depth in engineering + architecture). Proven architecture experience with
Snowflake
(warehouse design, data modeling, performance tuning, governance/security). Strong hands-on AWS analytics/data services experience, especially integrating lake + warehouse and enabling governed access.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
  • United States

Compétences linguistiques

  • English
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