C2C Job Opening – Snowflake Solutions Architect – AWS Data & Analytics – Union Beach, NJ

Tech Mirrors; Union Beach (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Tech Mirrors in Union Beach, NJ, is seeking a hands-on Snowflake Solutions Architect to design and lead modern data platforms on Snowflake with AWS analytics services, enabling governed analytics through Power BI and accelerating GenAI use cases with Amazon Bedrock.

The role partners with business and engineering teams to define architecture, guide implementation, and ensure security, performance, and cost-efficiency across the data and AI landscape.

Qualifications

• 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.

Responsibilities

• Own end-to-end architecture for cloud data platforms leveraging Snowflake and AWS analytics services.
• Guide teams on building robust ELT/ETL pipelines, metadata management, and data quality controls.
• Architect and govern Power BI semantic models/datasets and ensure security and governance.

Skills

Snowflake architecture

AWS analytics

dbt

Airflow

Tools

dbt

Airflow

Lake Formation

Iceberg

Job description

Snowflake Solutions Architect AWS Data & Analytics | Power BI | Amazon Bedrock

Union Beach, NJ

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 (S3, Glue, Lake Formation, Athena, Redshift, EMR, Kinesis, MSK). Define target‑state patterns for historical + incremental loads, batch/real‑time ingestion, and scalable transformations using tools like dbt and orchestration frameworks (Airflow). Design Lakehouse / Medallion style architectures and integration approaches between AWS data lake and Snowflake analytics marts, including modern table formats (e.g., Iceberg). 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 (Row‑Level Security, 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)

• 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.