Technical Architect

Job Summary:
We are seeking a highly skilled Technical Architect with a strong focus on Databricks to design
and implement scalable data platforms and pipelines. The ideal candidate will lead the migration
from legacy systems to a modern Lakehouse architecture, ensuring data governance, quality, and
security while collaborating with various stakeholders to align technical solutions with business
objectives.
Years of Experience : 8 - 10 yrs
Core Responsibilities:
? Design and implement scalable data platforms and pipelines using Azure Databricks,
Apache Spark, Delta Lake, and MLflow.
? Lead the migration from legacy platforms to Lakehouse architecture.
? Develop batch and streaming data pipelines for ingestion, transformation, and analytics.
? Establish standards for data governance, quality, and security.
? Collaborate with stakeholders to align architecture with business goals.
? Mentor data engineers and developers on Databricks best practices.
? Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, and Azure
Data Factory.
Mandatory Skills:
? Strong command of Databricks and Azure.
? Proficiency in SQL, Python, Scala, and Spark.
? Experience with CI/CD pipelines, DevOps, and orchestration tools like Airflow or Data
Factory.
? Familiarity with Azure cloud platforms.
? Deep understanding of distributed computing, performance tuning, and data security.
Preferred Skills:
? Experience with data mesh, data fabric, or enterprise data architectures.
? Strong ERP knowledge (e.g., SAP, Salesforce).
? Hands-on capability and self-exploration skills to drive analytics adoption across business
teams.
Qualifications:
? Bachelors or Master’s in Computer Science, Data Science, or a related field.
? Certifications such as Azure Solution Architect, Azure Data Engineer, or Databricks
Certified Data Engineer or Solutions Architect. Not a must, but good if have
? Domain knowledge in finance, healthcare, or public sector is a plus.
Join our team and play a pivotal role in transforming our data architecture while mentoring the
next generation of data engineers. Your expertise in Databricks will be crucial in driving our data
initiatives forward.