Databricks Architect.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global computer software organization known for delivering innovative data-driven solutions. They operate at a significant scale, fostering a culture of technical excellence and continuous learning. The company empowers its teams to solve complex business challenges through advanced cloud and data engineering practices.
About the role.
We are seeking an experienced Databricks Architect to design, develop, and optimize scalable data platforms and lakehouse solutions. You will play a pivotal role in building robust data pipelines and implementing modern data engineering practices to support enterprise-level initiatives. The ideal candidate will leverage their deep technical expertise to drive performance and innovation across our data ecosystem.
What you will do.
- Design, build, and maintain enterprise-scale Databricks platforms and data pipelines.
- Develop batch and real-time data processing solutions using PySpark, Spark SQL, and Delta Lake.
- Implement and manage Delta Lake, Delta Live Tables, and Unity Catalog for data governance.
- Build scalable data ingestion frameworks leveraging Auto Loader, Kafka, and Event Hubs.
- Optimize Spark workloads, cluster performance, and cloud costs through advanced tuning.
- Develop and maintain CI/CD pipelines and Infrastructure-as-Code solutions.
- Implement data security controls, metadata management, and data lineage solutions.
- Support ML and AI initiatives using MLflow, Feature Store, and Generative AI frameworks.
What you bring.
- 9–15 years of professional experience in data engineering and architecture.
- Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Delta Lake.
- Proven experience designing and supporting complex Lakehouse Architectures.
- Advanced proficiency in SQL and data modeling techniques.
- Must hold at least two active Databricks certifications.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of CI/CD, DevOps, Terraform, and DataOps practices.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
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