Cloud Data Architect- Databricks

Job Description

Role : Were looking for a skilled Databricks Solution Architect who will lead the design and implementation of data migration strategies and cloud-based data and analytics transformation on the Databricks platform. This role involves collaborating with stakeholders, analyzing data, defining architecture, building data pipelines, ensuring security and performance, and implementing Databricks solutions for machine learning and business intelligence. Key Responsibilities: Define the architecture and roadmap for cloud-based data and analytics transformation on Databricks. Design, implement, and optimize scalable, high-performance data architectures using Databricks. Build and manage data pipelines and workflows within Databricks. Ensure that best practices for security, scalability, and performance are followed. Implement Databricks solutions that enable machine learning, business intelligence, and data science workloads. Oversee the technical aspects of the migration process, from planning through to execution. Create documentation of the architecture, migration processes, and solutions. Provide training and support to teams post-migration to ensure they can leverage Databricks. Preferred candidate profile: Experience: 7+ years of experience in data engineering, cloud architecture, or related fields. 3+ years of hands-on experience with Databricks, including the implementation of data engineering solutions, migration projects, and optimizing workloads. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with Databricks. Experience in end-to-end data migration projects involving large-scale data infrastructure. Familiarity with ETL tools, data lakes, and data warehousing solutions. Skills: Expertise in Databricks architecture and best practices for data processing. Strong knowledge of Spark, Delta Lake, DLT, Lakehouse architecture, and other latest Databricks components. Proficiency in Databricks Asset Bundles Expertise in design and development of migration frameworks using Databricks Proficiency in Python, Scala, SQL, or similar languages for data engineering tasks. Familiarity with data governance, security, and compliance in cloud environments. Solid understanding of cloud-native data solutions and services.