At a glanceSummarised by Seekless from the posting.
Must have13
8-10 years of experience in data engineering with Snowflake
Extensive Snowflake experience
Snowflake certifications required
Must have hands on experience and execute the tactical work
Experienced in thought leadership, defining future state architecture, setting tech design principles, aligning the team on technical direction
Familiarity with Snowflake Cortex (their AI tooling)
Extensive DBT experience
Advanced SQL and Snowflake SQL
ETL with dbt and orchestration
Cloud platform proficiency
Knowledge of big data technologies (Hadoop, Spark, Kafka) and data visualization tools (Power BI, QlikSense, Superset)
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Nice to have1
Python and Apache Airflow are preferred
Eligibility1
Experient is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, color, sex, religion, national origin, age, sexual orientation, disability, veteran status, gender identity, or any other characteristic protected by law.
Skills
Snowflake
dbt
Python
Apache Airflow
SQL
AWS
Azure
GCP
Alation
Power BI
Hadoop
Spark
Kafka
QlikSense
Superset
About the company
At Experient, we provide experience, technology, and transformation support to our clients, creating a dynamic work environment. We value collaboration, prioritize effective communication, and focus on delivering results quickly and practically. Whether you’re looking to deepen your expertise or take on new challenges, we’re here to support your journey every step of the way.
About the role
We are seeking a Senior Snowflake Data Engineer to join our development team. This individual will be responsible for hands-on building, enhancing, and supporting multiple high-volume data pipelines used by our client to process business critical order transaction data.
Location: Dallas, Texas - Hybrid
What you’ll do:
•
Responsible for hands on database work and execution of the tactical work
•
Involved in thought leadership
•
Define future state architecture
•
Set tech design principles
•
Align the team on technical direction
•
Pipeline Development: Design, implement, and maintain ELT/ETL pipelines using Snowflake, dbt, and orchestration tools
•
Data Modeling: Create and optimize star/snowflake schemas, ensuring data integrity and scalability
•
SQL & Performance Tuning: Write complex SQL queries, optimize queries for performance, and troubleshoot issues
•
Integration: Connect Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (e.g., Alation, Power BI)
What you will bring:
•
8-10 years of experience in data engineering with Snowflake
•
Extensive Snowflake experience
•
Snowflake certifications required
•
Must have hands on experience and execute the tactical work
•
Experienced in thought leadership, defining future state architecture, setting tech design principles, aligning the team on technical direction.
•
Familiarity with Snowflake Cortex (their AI tooling)
•
Extensive DBT experience
•
Python and Apache Airflow are preferred
•
Advanced SQL and Snowflake SQL
•
ETL with dbt and orchestration
•
Cloud platform proficiency
•
Knowledge of big data technologies (Hadoop, Spark, Kafka) and data visualization tools (Power BI, QlikSense, Superset)
•
Strong analytical and problem-solving skills
•
Excellent verbal and written communication skills
Legal
Experient is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, color, sex, religion, national origin, age, sexual orientation, disability, veteran status, gender identity, or any other characteristic protected by law.