Solutions Architect

We are hiring an experienced Solutions Architect with good experience in Databricks.
Roles and Responsibilities:
Overall 10-18 yrs. of Data Engineering experience with Minimum 2+ years of hands on experience in Databricks. Ready to travel Onsite and work from client location.
Proven experience as a Databricks Architect or similar role with a deep understanding of the Databricks platform and its capabilities.
Analyze business requirements and translate them into technical specifications for data pipelines, data lakes, and analytical processes on the Databricks platform.
Design and architect end-to-end data solutions, including data ingestion, storage, transformation, and presentation layers.
Lead the setup, configuration, and optimization of Databricks clusters, workspaces, and jobs to ensure the platform operates efficiently and meets performance benchmarks.
Manage access controls and security configurations to ensure data privacy and compliance.
Design and implement data integration processes, ETL workflows, and data pipelines to extract, transform, and load data from various sources into the Databricks platform.
Optimize ETL processes to achieve high data quality and reduce latency.
Monitor and optimize query performance and overall platform performance to ensure efficient execution of analytical queries and data processing jobs.
Identify and resolve performance bottlenecks in the Databricks environment.
Establish and enforce best practices, standards, and guidelines for Databricks development, ensuring data quality, consistency, and maintainability.
Implement data governance and data lineage processes to ensure data accuracy and traceability.
Mentor and train team members on Databricks best practices, features, and capabilities.
Conduct knowledge-sharing sessions and workshops to foster a data-driven culture within the organization.
Will be responsible for Databricks Practice Technical/Partnership initiatives.
Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
Experience handling structured and unstructured datasets
Strong proficiency in programming languages like Python, Scala, or SQL.
Experience with Cloud platforms like AWS, Azure, or Google Cloud, and understanding of cloud-based data storage and computing services.
Familiarity with big data technologies like Apache Spark, Hadoop, and data lake architectures.
Develop and maintain data pipelines, ETL workflows, and analytical processes on the Databricks platform.
Should have good experience in Data Engineering in Databricks Batch process and Streaming
Should have good experience in creating Workflows & Scheduling the pipelines.
Should have good exposure on how to make packages or libraries available in DB.
Familiarity in Databricks default runtimes
Impetus Technologies is a software products and services company focused on creating powerful and intelligent enterprises through deep data awareness, data integration, and advanced data analytics. Our products and services are designed to empower the real-time data-driven enterprise, to help our clients win in the modern world of digital transformation.
Impetus has won several awards and creditable and global organizations have recognized and appreciated our passion for technology and great work culture. Our employees are our greatest assets. We are currently expanding our talent pool; those who'd like to add to their experience of working on cutting-edge technologies in the global IT industry today are welcome to join us.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Contract
Job function Job function Information Technology
Industries IT Services and IT Consulting, Software Development, and IT System Data Services
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