Position: Databricks Architect

Purpose of the Position:

To lead the design, development, and implementation of scalable data solutions using Databricks on cloud platforms. The role involves architecting data pipelines, optimizing performance, and ensuring data governance and security across enterprise-level analytics initiative

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Key Result Areas and Activities

:
Architecture Design: Develop and maintain scalable, secure, and high-performance data architecture using Databric
ks.Data Pipeline Development: Lead the creation and optimization of ETL/ELT pipelines for structured and unstructured da
ta.Cloud Integration: Ensure seamless integration of Databricks with cloud platforms like Azure, A
WS.Performance Optimization: Monitor and enhance the performance of data workflows and Spark jo
bs.Stakeholder Collaboration: Work closely with data engineers, analysts, and business stakeholders to translate requirements into technical solutio

ns.
Must Have Ski

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Strong expertise in Apache Spark and Databricks plat
form.Hands-on experience with Python or Scala for data engineering t
asks.Good expertise in Gen AI/LLM automation/modernization proj
ects.Proficiency in SQL for data manipulation and quer
ying.Hands on experience and awareness about latest features in databricks like AI/BI Genie, Agentbricks, Databricks
Apps.Experience with Delta Lake, Lakehouse architecture, and data versio
ning.Knowledge of CI/CD pipelines and DevOps practices in data enginee
ring.Familiarity with cloud platforms (Azure/AWS) and their data serv
ices.Understanding of data governance, security, and compliance framew
orks.Contribute to presales and

RFPs.
Good To Have

Skill
Experience with MLflow and machine learning model depl
oyment.Knowledge of Apache Airflow or other orchestration
tools.Exposure to real-time data processing using Kafka or similar
tools.Familiarity with Power BI, Tableau, or other BI
tools.Certification in Databricks or relevant cloud techno

logies.