Lead Snowflake Data Engineer
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Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Title: Lead Snowflake Data Engineer
Location: Dallas TX (Local Profiles Only)
Duration: Long Term Contract
Location: Dallas TX (Local Profiles Only)
Duration: Long Term Contract
Requirement:
Key Responsibilities:
Lead the end-to-end architecture and implementation of Snowflake(Bronze/Silver/Gold layers).
Partner with business and data stakeholders to translate requirements into canonical models ontologies and data products.
Define and enforce data modeling standards naming conventions and domain-driven design principles.
Guide teams on data ingestion patterns transformation frameworks (e.g. dbt) and performance optimization in Snowflake.
Integrate data management capabilities including Data Quality using SODA Data Governance Metadata Management and Data Observability.
Ensure platform scalability security cost optimization and compliance with enterprise standards.
Provide technical leadership and mentorship to data engineers and modelers.
Act as a key contributor in roadmap planning technical decision-making and stakeholder communication.
Key Responsibilities:
Lead the end-to-end architecture and implementation of Snowflake(Bronze/Silver/Gold layers).
Partner with business and data stakeholders to translate requirements into canonical models ontologies and data products.
Define and enforce data modeling standards naming conventions and domain-driven design principles.
Guide teams on data ingestion patterns transformation frameworks (e.g. dbt) and performance optimization in Snowflake.
Integrate data management capabilities including Data Quality using SODA Data Governance Metadata Management and Data Observability.
Ensure platform scalability security cost optimization and compliance with enterprise standards.
Provide technical leadership and mentorship to data engineers and modelers.
Act as a key contributor in roadmap planning technical decision-making and stakeholder communication.
Required Skills & Experience:
10 years of experience in data engineering and platform architecture with at least 3 years in a lead role.
Strong hands-on experience with Snowflake (performance tuning clustering security cost optimization).
Hands-on experience with cloud platforms (AWS Azure or GCP)
Understanding with Data Domains (Client Finance etc.)
Deep understanding of data modeling (dimensional canonical domain-driven).
Experience designing or working with ontology / semantic layers (business vocabularies relationships metrics).
Strong knowledge of modern data stack tools (dbt orchestration CI/CD for data).
Experience implementing Data Quality Data Governance Metadata and Data Observability solutions.
Experience with orchestration tools such as: Apache Airflow Prefect or Luigi.
Solid SQL skills and strong understanding of ELT patterns.
Ability to lead cross-functional teams and communicate complex concepts to both technical and non-technical stakeholders.
10 years of experience in data engineering and platform architecture with at least 3 years in a lead role.
Strong hands-on experience with Snowflake (performance tuning clustering security cost optimization).
Hands-on experience with cloud platforms (AWS Azure or GCP)
Understanding with Data Domains (Client Finance etc.)
Deep understanding of data modeling (dimensional canonical domain-driven).
Experience designing or working with ontology / semantic layers (business vocabularies relationships metrics).
Strong knowledge of modern data stack tools (dbt orchestration CI/CD for data).
Experience implementing Data Quality Data Governance Metadata and Data Observability solutions.
Experience with orchestration tools such as: Apache Airflow Prefect or Luigi.
Solid SQL skills and strong understanding of ELT patterns.
Ability to lead cross-functional teams and communicate complex concepts to both technical and non-technical stakeholders.
Nice to Have:
Experience with knowledge graphs semantic models or graph technologies.
Exposure to enterprise data platforms supporting multiple domains and global users.
Background in cloud-native architectures and large-scale data modernization programs.
Experience with knowledge graphs semantic models or graph technologies.
Exposure to enterprise data platforms supporting multiple domains and global users.
Background in cloud-native architectures and large-scale data modernization programs.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
