Senior Technical Consultant - Snowflake with DBT

Perficient•Irvine, CA

15h•$64,974 - $149,880

About The Position

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world’s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what’s possible - while building a career filled with growth, balance, and purpose. We currently have a career opportunity for a Senior Technical Consultant - Snowflake with DBT to join our Data & Analytics Team in Irvine, CA . The Senior Technical Consultant will be responsible for designing, developing, and maintaining data pipelines and solutions to enable our client to harness the power of the data for further analytics. The engineer will work with modern data technologies, emphasizing Snowflake and dbt (Data Build Tool) to automate, build, test, and maintain the data infrastructure. Additionally, it is expected that people participate actively in all aspects of the data lifecycle and provide recommendations aligned with best practices within the process. Job Overview: As a Senior Technical Consultant, you will participate in all aspects of the software development lifecycle, which includes estimating, technical design, implementation, documentation, testing, deployment, and support of applications developed for our clients. As a member working in a team environment, you will work with solution architects and developers on the interpretation/translation of wireframes and creative designs into functional requirements, and subsequently into technical design. Perficient is always looking for the best and brightest talent, and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

Requirements

Bachelors or Masters degree in Computer Science Data Engineering or related field
7 years of experience in data engineering with at least 4 years focused on Snowflake and DBT
Strong proficiency in SQL and Python
Experience with cloud platforms AWS GCP or Azure
Familiarity with Git CICD and Infrastructure as Code tools Terraform CloudFormation
Knowledge of data modeling star schema normalization and ELT best practices.
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
A solid understanding of AI capabilities and limitations including ethical considerations is expected
Client-facing or consulting experience is highly preferred.
Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.

Responsibilities

Design develop and maintain ELT pipelines using Snowflake and DBT
Build and optimize data models in Snowflake to support analytics and reporting
Implement modular testable SQL transformations using DBT
Integrate DBT workflows into CICD pipelines and manage infrastructure as code using Terraform
Collaborate with data scientists, analysts and business stakeholders to translate requirements into technical solutions
Optimize Snowflake performance through clustering partitioning indexing and materialized views
Automate data ingestion and transformation workflows using Airflow or similar orchestration tools
Ensure data quality governance and security across pipelines
Troubleshoot and resolve performance bottlenecks and data issues
Maintain documentation for data architecture pipelines and operational procedures.