Databricks Architect
Job Description
Hiring: Databricks Architect | Remote | Full-Time
Required Experience: 12+ years
Location: Remote, India
About the Role
CODVO.AI is seeking an experienced Databricks Architect to design, implement, and optimize scalable enterprise data solutions. You will lead data architecture initiatives, build high-performance pipelines, and guide engineering teams in delivering secure, cost-effective data platforms.
Key Responsibilities
- Design enterprise-grade data lakes, lakehouses, and analytics platforms using Databricks.
- Develop and optimize data pipelines using Apache Spark, Delta Lake, Python, and SQL.
- Lead data engineering projects from architecture and implementation through deployment.
- Establish best practices for data governance, security, performance, and cost optimization.
- Troubleshoot technical challenges and provide architectural guidance to teams and clients.
- Mentor engineers, conduct code reviews, and collaborate with business and technical stakeholders.
Required Skills
- 3+ years of hands-on Databricks and data engineering experience.
- Databricks Associate or Professional certification.
- Strong proficiency in Apache Spark, Python, SQL, and ETL/ELT pipelines.
- Experience with Delta Lake, data governance, and AWS, Azure, or GCP.
- Strong problem-solving, communication, and stakeholder-management skills.
More Info
Key Skills
About Company
Skills:
Pyspark, Azure Databricks, Data Governance, Python, Star Schema, Ml, Data Migration, Apache Spark, Data Quality, Sql, Git, Security, CI CD, Data-platform modernization, Lakehouse architecture, Bronze Silver Gold architecture, ETL ELT patterns, Generative AI, DevOps practices, Databricks Mosaic AI, Ai, Dimensional modelling, Metadata lineage, Fact Dimension modelling, Delta Lake, Access management
Skills:
data engineering , Data Product architectures, Cloud data platform modernization, Architecture governance design reviews, Databricks architecture, Technical strategy
Skills:
Databricks, Data Governance, Azure, Pyspark, Azure DevOps, MLops, Modern Data Platform, Cloud-native architecture, DataOps, CI CD pipelines
Skills:
data vault , Sql, Emr, Cloud Storage, Dimensional Modeling, Pyspark, Azure Databricks, Etl, Azure DevOps, ELT, Data Modeling, Aws S3, Azure Data Factory, Dataproc, Star Schema, Jenkins, Redshift, Airflow, Databricks Lakehouse Platform, Synapse, Azure ADF, Glue, CI CD pipelines, GitHub Actions, ADLS Gen2, Snowflake Data Cloud, GCP BigQuery, distributed data processing
Skills:
snowflake , lifecycle management , Databricks, Sql, Devops, Pyspark, Kafka, Machine Learning, Azure Databricks, Data Integration, Azure Data Factory, Google Cloud, AWS, Data Quality, Data Modelling, Python, Metadata Management, Microsoft Azure, Spark, Privacy, Security, CI CD, Microsoft Fabric, Governance, knowledge graph, Synapse Analytics, master data management, distributed processing, generative AI, vector semantic ontology