We are looking for an experienced Databricks Lead to design develop and lead enterprise-scale data engineering and analytics solutions on the Databricks platform. The ideal candidate should have strong expertise in Databricks Spark cloud technologies ETL pipelines and modern data architecture. The candidate will work closely with cross-functional teams mentor engineers and drive end-to-end implementation of scalable data solutions.
Key Responsibilities
Lead the design and development of scalable data solutions using Databricks.
Build and optimize ETL/ELT pipelines using PySpark Spark SQL and Delta Lake.
Work with large-scale structured and unstructured datasets.
Design data ingestion frameworks from multiple data sources.
Collaborate with business stakeholders architects analysts and engineering teams.
Implement performance tuning and optimization techniques in Databricks.
Develop and maintain data workflows and orchestration pipelines.
Ensure data quality governance security and compliance standards.
Lead code reviews technical discussions and best practices implementation.
Mentor junior developers and provide technical leadership.
Support cloud-based data platforms on AWS Azure or GCP.
Participate in requirement gathering solution design and production support activities.
Required Skills
Strong hands-on experience with Databricks
Expertise in PySpark and Spark SQL
Experience with Delta Lake
Strong SQL and data warehousing concepts
Experience in ETL/ELT development
Knowledge of cloud platforms such as Azure AWS or GCP
Experience with data modeling and big data processing
Hands-on experience with orchestration tools like Airflow or ADF
Knowledge of CI/CD pipelines and DevOps practices
Strong analytical and problem-solving skills
Excellent communication and leadership abilities
Preferred Skills
Experience with Kafka or streaming technologies
Knowledge of Unity Catalog and Databricks governance
Experience with Snowflake Synapse or Redshift
Familiarity with Terraform or Infrastructure as Code
Agile/Scrum experience
Qualifications
Bachelors degree in Computer Science Information Technology or related field
8 years of overall IT experience
4 years of hands-on experience with Databricks and Spark technologies
Experience leading offshore/onshore teams is preferred
Nice to Have
Databricks Certification
Cloud Certifications (AWS/Azure/GCP)
Experience in Healthcare Banking Retail or Telecom domains
Responsibilities in Leadership Role
Lead technical discussions and architecture decisions
Coordinate with clients and stakeholders
Drive project delivery timelines and quality standards
Provide mentoring and technical guidance to the team
Identify process improvements and automation opportunities
Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting AI/ML Data Analytics & Visualization Cloud Data Warehouse Migration Snowflake Implementation Informatica Implementation & Upgrade Staffing Services and Data Management Solutions
Position : Databrick Lead Location : Remote Term : C2C/W2 role Duration : 12 months Job Description: We are looking for an experienced Databricks Lead to design develop and lead enterprise-scale data engineering and analytics solutions on the Databricks platform. The ideal candidate...
Position : Databrick Lead
Location : Remote
Term : C2C/W2 role
Duration : 12 months
Job Description:
We are looking for an experienced Databricks Lead to design develop and lead enterprise-scale data engineering and analytics solutions on the Databricks platform. The ideal candidate should have strong expertise in Databricks Spark cloud technologies ETL pipelines and modern data architecture. The candidate will work closely with cross-functional teams mentor engineers and drive end-to-end implementation of scalable data solutions.
Key Responsibilities
Lead the design and development of scalable data solutions using Databricks.
Build and optimize ETL/ELT pipelines using PySpark Spark SQL and Delta Lake.
Work with large-scale structured and unstructured datasets.
Design data ingestion frameworks from multiple data sources.
Collaborate with business stakeholders architects analysts and engineering teams.
Implement performance tuning and optimization techniques in Databricks.
Develop and maintain data workflows and orchestration pipelines.
Ensure data quality governance security and compliance standards.
Lead code reviews technical discussions and best practices implementation.
Mentor junior developers and provide technical leadership.
Support cloud-based data platforms on AWS Azure or GCP.
Participate in requirement gathering solution design and production support activities.
Required Skills
Strong hands-on experience with Databricks
Expertise in PySpark and Spark SQL
Experience with Delta Lake
Strong SQL and data warehousing concepts
Experience in ETL/ELT development
Knowledge of cloud platforms such as Azure AWS or GCP
Experience with data modeling and big data processing
Hands-on experience with orchestration tools like Airflow or ADF
Knowledge of CI/CD pipelines and DevOps practices
Strong analytical and problem-solving skills
Excellent communication and leadership abilities
Preferred Skills
Experience with Kafka or streaming technologies
Knowledge of Unity Catalog and Databricks governance
Experience with Snowflake Synapse or Redshift
Familiarity with Terraform or Infrastructure as Code
Agile/Scrum experience
Qualifications
Bachelors degree in Computer Science Information Technology or related field
8 years of overall IT experience
4 years of hands-on experience with Databricks and Spark technologies
Experience leading offshore/onshore teams is preferred
Nice to Have
Databricks Certification
Cloud Certifications (AWS/Azure/GCP)
Experience in Healthcare Banking Retail or Telecom domains
Responsibilities in Leadership Role
Lead technical discussions and architecture decisions
Coordinate with clients and stakeholders
Drive project delivery timelines and quality standards
Provide mentoring and technical guidance to the team
Identify process improvements and automation opportunities
Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting AI/ML Data Analytics & Visualization Cloud Data Warehouse Migration Snowflake Implementation Informatica Implementation & Upgrade Staffing Services and Data Management Solutions