Yochana
Data Lead Engineer-Fremont, CA-onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Lead Engineer in Fremont, CA, with a contract length of "unknown" and a pay rate of "unknown." Candidates should have 12+ years of experience and expertise in Azure Data Factory, PySpark, and cloud-native solutions in banking, healthcare, and retail.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Fremont, CA
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🧠 - Skills detailed
#Synapse #Triggers #AWS (Amazon Web Services) #AWS Glue #HDFS (Hadoop Distributed File System) #Data Engineering #Data Modeling #Azure SQL #Delta Lake #ADLS (Azure Data Lake Storage) #Redshift #PySpark #"ETL (Extract #Transform #Load)" #Snowflake #Scala #SQL (Structured Query Language) #Azure #Spark SQL #Apache Spark #Apache Airflow #Airflow #AWS Kinesis #Python #Indexing #Databricks #Cloud #PostgreSQL #Oracle #Azure Data Factory #Spark (Apache Spark) #Azure Databricks #Data Processing #Kafka (Apache Kafka) #ADF (Azure Data Factory) #Data Architecture
Role description
Position: Data Lead Engineer
Location: Fremont, CA-onsite
Experience: 12+ Years
Primary Skills:
Azure Data Factory (ADF), Azure Databricks, PySpark, Azure Synapse, Azure SQL, Python, Spark SQL
Candidate Summary:
Accomplished Data Architect / Senior Data Engineer with 12+ years of experience designing and modernizing enterprise data platforms across banking, healthcare, and retail domains. Strong expertise in building scalable, cloud-native data solutions across Azure and AWS ecosystems.
Key Highlights:
• Architected scalable ETL/ELT pipelines using Python, PySpark, Databricks, AWS Glue, and Azure Data Factory for high-volume data processing
• Led enterprise-level data architecture initiatives including data modeling, governance, and cloud platform design
• Designed Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake, ADLS Gen2, Snowflake, Redshift, and Synapse
• Built large-scale distributed data processing solutions using Apache Spark, Databricks, EMR, Hive, and HDFS handling billions of records
• Orchestrated workflows using Apache Airflow, Databricks Workflows, AWS Step Functions, and ADF triggers
• Strong expertise in Advanced SQL (CTEs, window functions, performance tuning, indexing, partitioning) across Snowflake, PostgreSQL, and Oracle
• Developed real-time streaming solutions using Kafka, AWS Kinesis, Azure Event Hub, and Service Bus
Position: Data Lead Engineer
Location: Fremont, CA-onsite
Experience: 12+ Years
Primary Skills:
Azure Data Factory (ADF), Azure Databricks, PySpark, Azure Synapse, Azure SQL, Python, Spark SQL
Candidate Summary:
Accomplished Data Architect / Senior Data Engineer with 12+ years of experience designing and modernizing enterprise data platforms across banking, healthcare, and retail domains. Strong expertise in building scalable, cloud-native data solutions across Azure and AWS ecosystems.
Key Highlights:
• Architected scalable ETL/ELT pipelines using Python, PySpark, Databricks, AWS Glue, and Azure Data Factory for high-volume data processing
• Led enterprise-level data architecture initiatives including data modeling, governance, and cloud platform design
• Designed Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake, ADLS Gen2, Snowflake, Redshift, and Synapse
• Built large-scale distributed data processing solutions using Apache Spark, Databricks, EMR, Hive, and HDFS handling billions of records
• Orchestrated workflows using Apache Airflow, Databricks Workflows, AWS Step Functions, and ADF triggers
• Strong expertise in Advanced SQL (CTEs, window functions, performance tuning, indexing, partitioning) across Snowflake, PostgreSQL, and Oracle
• Developed real-time streaming solutions using Kafka, AWS Kinesis, Azure Event Hub, and Service Bus
