Data Architect Snowflake & DBT

Titusville, NY, US • Posted 2 days ago • Updated 1 day ago
Contract Corp To Corp
Contract W2
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Data Warehouse
  • Continuous Integration
  • Data Engineering
  • Data Architecture
  • Data Governance
  • Data Modeling
  • Continuous Delivery
  • Generative Artificial Intelligence (AI)
  • Microsoft Azure
  • ELT
  • KPI
  • Google Cloud Platform
  • Snow Flake Schema

Summary

Job Title: Data Architect Snowflake & dbt

Location: ~Titusville, NJ

Duration: 6+ months

GBaMS ReqID: 10706086

Key Responsibilities

Architecture & Design

Design and maintain end-to-end data architecture leveraging Snowflake as the cloud data warehouse Define data modeling standards (dimensional, hybrid, Data Vault, semantic layers) Architect scalable, cost-efficient Snowflake environments (databases, schemas, warehouses) Establish strategies for data ingestion, transformation, and consumption Review and approve technical designs and data pipelines Data Modelling Design Pipelines using CoCo Generate AI Insights using Cortex AI

dbt Development & Governance

Lead implementation using Datacoves

Design and enforce dbt project structure, naming conventions, and folder standards Develop robust dbt models, macros, snapshots, and seeds Implement and maintain dbt tests (freshness, generic, custom) Enable auto-generated documentation and data lineage using dbt docs Establish CI/CD practices for dbt deployments

Data Engineering & Optimization

Optimize Snowflake performance using:

Clustering & micro-partitioning

Query optimization

Warehouse sizing and scaling

Monitor and control Snowflake cost usage Collaborate with ingestion tools Implement ELT best practices

Security, Compliance & Reliability

Implement Snowflake security controls (RBAC, masking policies, row-level security) Ensure adherence to data governance, compliance, and privacy standards Design data quality frameworks and SLAs Enable auditability and observability across the data platform Leadership & Collaboration

Act as a technical advisor to data engineers and analytics teams Mentor junior engineers and analysts Translate business requirements into scalable technical solutions Partner with stakeholders to define KPIs and semantic layers Contribute to platform roadmaps and architecture decisions Required Qualifications

8+ years of experience in data engineering or analytics engineering

8+ years of hands-on Snowflake architecture experience

6+ years of DBT (Core or Cloud) experience in production environments

Strong SQL expertise (advanced transformations and performance tuning) Deep understanding of ELT architectures Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) Proficiency with Git-based version control and CI/CD pipelines Experience with data modelling methodologies

Essential Skills: GLI

Desirable Skills:

Keyword:

Skills: Digital : Python

~Digital : Snowflake

~Data Build Tool

~AI & Gen AI - Products & Tools

~Communication Experience Required: 10 & Above

Thanks & Regards,

Akhil

akhil dot macharla at adventglobal dot com

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: agsinc
  • Position Id: 8954020
  • Posted 2 days ago
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