We are looking for an experienced Databricks & Snowflake Architect to design build and optimize modern cloud-based data platforms. The ideal candidate should have strong expertise in Databricks Snowflake cloud technologies (Azure/AWS/GCP) data engineering ETL/ELT pipelines data warehousing and big data solutions. The role involves leading end-to-end architecture migration performance optimization and data governance initiatives.
Key Responsibilities
Design and implement scalable data architectures using Databricks and Snowflake.
Build and optimize ETL/ELT pipelines for structured semi-structured and unstructured data.
Develop modern data lake lakehouse and data warehouse solutions.
Lead migration projects from legacy data warehouses to Snowflake and Databricks.
Design data models dimensional models and star/snowflake schemas.
Implement Delta Lake architecture and optimize data storage.
Develop scalable data processing pipelines using Apache Spark (PySpark/Scala).
Integrate data from multiple sources including APIs databases ERP CRM and cloud storage.
Optimize query performance clustering partitioning and warehouse sizing in Snowflake.
Implement CI/CD pipelines and Infrastructure as Code where applicable.
Work with DevOps teams for deployment automation.
Establish data governance security lineage and access controls.
Collaborate with business stakeholders to understand reporting and analytics requirements.
Mentor data engineers and provide architectural guidance.
Perform performance tuning troubleshooting and production support.
Required Skills
Data Platform
Databricks
Snowflake
Delta Lake
Apache Spark
Lakehouse Architecture
Data Warehousing
Programming
Python
PySpark
SQL
Scala (Preferred)
Cloud Platforms
Azure
AWS
GCP
Qualifications
Bachelors or Masters degree in Computer Science Information Technology or a related field.
8 years of experience in Data Engineering/Data Architecture.
3 years of hands-on experience with Databricks and Snowflake.
Strong expertise in Apache Spark and PySpark.
Experience designing enterprise-scale cloud data platforms.
Experience with data migration and modernization projects.
Excellent analytical communication and stakeholder management skills.
Required Skills:
DataBricksSnowflake
Role :Freelance Databricks & Snowflake Architect Company Name : WillWare Technologies Work Model : Remote / Contract Experience : 10 Years Job Description : Job Summary We are looking for an experienced Databricks & Snowflake Architect to design build and optimize modern cloud-based data platforms. ...
Role :Freelance Databricks & Snowflake Architect
Company Name : WillWare Technologies
Work Model : Remote / Contract
Experience : 10 Years
Job Description :
Job Summary
We are looking for an experienced Databricks & Snowflake Architect to design build and optimize modern cloud-based data platforms. The ideal candidate should have strong expertise in Databricks Snowflake cloud technologies (Azure/AWS/GCP) data engineering ETL/ELT pipelines data warehousing and big data solutions. The role involves leading end-to-end architecture migration performance optimization and data governance initiatives.
Key Responsibilities
Design and implement scalable data architectures using Databricks and Snowflake.
Build and optimize ETL/ELT pipelines for structured semi-structured and unstructured data.
Develop modern data lake lakehouse and data warehouse solutions.
Lead migration projects from legacy data warehouses to Snowflake and Databricks.
Design data models dimensional models and star/snowflake schemas.
Implement Delta Lake architecture and optimize data storage.
Develop scalable data processing pipelines using Apache Spark (PySpark/Scala).
Integrate data from multiple sources including APIs databases ERP CRM and cloud storage.
Optimize query performance clustering partitioning and warehouse sizing in Snowflake.
Implement CI/CD pipelines and Infrastructure as Code where applicable.
Work with DevOps teams for deployment automation.
Establish data governance security lineage and access controls.
Collaborate with business stakeholders to understand reporting and analytics requirements.
Mentor data engineers and provide architectural guidance.
Perform performance tuning troubleshooting and production support.
Required Skills
Data Platform
Databricks
Snowflake
Delta Lake
Apache Spark
Lakehouse Architecture
Data Warehousing
Programming
Python
PySpark
SQL
Scala (Preferred)
Cloud Platforms
Azure
AWS
GCP
Qualifications
Bachelors or Masters degree in Computer Science Information Technology or a related field.
8 years of experience in Data Engineering/Data Architecture.
3 years of hands-on experience with Databricks and Snowflake.
Strong expertise in Apache Spark and PySpark.
Experience designing enterprise-scale cloud data platforms.
Experience with data migration and modernization projects.
Excellent analytical communication and stakeholder management skills.