Role: Snowflake Solutions Architect
Location: Union Beach, NJ - Hybrid 3 days in a week Tues, Wed & Thurs
Contract: 6-9+ months.
Experience: 10+ years
Mandatory Skills: Snowflake Admin, DBT Admin, Solution Architect, Python, SQL, AWS
Job Description:
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.
Core Technical Skills
· Snowflake: architecture patterns, security/governance, optimization, and operational best practices.
· AWS Data Analytics Services: working knowledge of how services integrate for governed access (Lake Formation with Athena/Glue/Redshift/EMR).
· Power BI: semantic model/dataset design and governance; ability to align BI layer with enterprise BI architecture principles.
· Amazon Bedrock: ability to solution GenAI workloads using Agents/Knowledge Bases and implement guardrails for safety.
· Strong SQL and data modeling (dimensional modeling, marts, analytical patterns).
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.
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