GTECH LLC
Principal Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and is remote. Key skills include Snowflake, Databricks, Python, SQL, Kafka, and experience in finance/revenue data domains.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Frisco, TX
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🧠 - Skills detailed
#Snowflake #Data Pipeline #Azure DevOps #Scala #ADF (Azure Data Factory) #Azure #Airflow #Databricks #Observability #PySpark #dbt (data build tool) #Kafka (Apache Kafka) #Data Engineering #Azure SQL #Computer Science #"ETL (Extract #Transform #Load)" #Python #Vault #DevOps #SQL (Structured Query Language) #Data Modeling #Azure Data Factory #ADLS (Azure Data Lake Storage) #Data Lineage #Data Quality #Batch #Data Vault #Security #GitHub #Spark SQL #Spark (Apache Spark) #AWS (Amazon Web Services)
Role description
We're looking for an experienced Principal Data Engineer from a FAANG/Product company with strong expertise in Snowflake, Databricks, Python/PySpark, SQL, Kafka, Azure/AWS, CI/CD, and enterprise-scale data platforms
Must have worked with Facebook/Meta/Amazon/Apple/Netflix/Google or any top tier product company!
Required Skills:
• Strong experience designing enterprise ETL/ELT Data Pipelines
• Snowflake, Databricks, dbt
• Python, PySpark, Advanced SQL
• Kafka / Event Hub / Spark Streaming
• Azure Data Stack (ADF, ADLS Gen2, Azure SQL, Key Vault) or AWS equivalent
• Airflow / Azure Data Factory
• Data Modeling (Star Schema, Snowflake, Data Vault, SCD Type 1/2)
• CI/CD, GitHub Actions / Azure DevOps
• Data Quality, Governance, Security (RBAC, PII, Data Lineage)
• Finance/Revenue Data domain (Billing, GL, Revenue Recognition, Reconciliation)
What You'll Do:
• Design and lead enterprise-scale data platforms and Lakehouse architecture.
• Build scalable batch, streaming, and real-time data pipelines.
• Drive Snowflake/Databricks platform architecture and best practices.
• Implement data quality, governance, security, and observability.
• Mentor engineering teams and define enterprise data engineering standards.
• Partner with architects, product teams, and business stakeholders.
Education: Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field.
We're looking for an experienced Principal Data Engineer from a FAANG/Product company with strong expertise in Snowflake, Databricks, Python/PySpark, SQL, Kafka, Azure/AWS, CI/CD, and enterprise-scale data platforms
Must have worked with Facebook/Meta/Amazon/Apple/Netflix/Google or any top tier product company!
Required Skills:
• Strong experience designing enterprise ETL/ELT Data Pipelines
• Snowflake, Databricks, dbt
• Python, PySpark, Advanced SQL
• Kafka / Event Hub / Spark Streaming
• Azure Data Stack (ADF, ADLS Gen2, Azure SQL, Key Vault) or AWS equivalent
• Airflow / Azure Data Factory
• Data Modeling (Star Schema, Snowflake, Data Vault, SCD Type 1/2)
• CI/CD, GitHub Actions / Azure DevOps
• Data Quality, Governance, Security (RBAC, PII, Data Lineage)
• Finance/Revenue Data domain (Billing, GL, Revenue Recognition, Reconciliation)
What You'll Do:
• Design and lead enterprise-scale data platforms and Lakehouse architecture.
• Build scalable batch, streaming, and real-time data pipelines.
• Drive Snowflake/Databricks platform architecture and best practices.
• Implement data quality, governance, security, and observability.
• Mentor engineering teams and define enterprise data engineering standards.
• Partner with architects, product teams, and business stakeholders.
Education: Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field.
