Databricks architect

4 days ago

Hyderabad, India HS Solutions Inc Full time

About the Job We are having an Urgent opening for one of our MNC client for PAN India Locations. Position Title: Databricks Architect Notice Period: Immediate to 30 days maximum Location: PAN India Experience: 10-15 Yrs In this role, the Databricks Architect is responsible for providing technical direction and lead a group of one or more developer to address a goal. Responsibilities • Architect and design solutions to meet functional and non-functional requirements. • Create and review architecture and solution design artifacts. • Evangelize re-use through the implementation of shared assets. • Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc. • Proactively guide engineering methodologies, standards, and leading practices. • Guidance of engineering staff and reviews of as-built configurations during the construction phase. • Provide insight and direction on roles and responsibilities required for solution operations. • Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle. • Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans. • Demonstrate strong analytical and technical problem-solving skills. • Ability to analyze and operate at various levels of abstraction. • Ability to balance what is strategically right with what is practically realistic. • Growing the Data Engineering business by helping customers identify opportunities to deliver improved business outcomes, designing and driving the implementation of those solutions. • Growing & retaining the Data Engineering team with appropriate skills and experience to deliver high quality services to our customers. • Supporting and developing our people, including learning & development, certification & career development plans • Providing technical governance and oversight for solution design and implementation • Should have technical foresight to understand new technology and advancement. • Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance • Should have Technical Experience in Azure, AWS & GCP Cloud Data Engineering services and solutions. • Contributing to Sales & Pre-sales activities including proposals, pursuits, demonstrations, and proof of concept initiatives • Evangelizing the Data Engineering service offerings to both internal and external stakeholders • Development of Whitepapers, blogs, webinars and other though leadership material • Development of Go-to-Market and Service Offering definitions for Data Engineering • Working with Learning & Development teams to establish appropriate learning & certification paths for their domain. • Expand the business within existing accounts and help clients, by building and sustaining strategic executive relationships, doubling up as their trusted business technology advisor. • Position differentiated and custom solutions to clients, based on the market trends, specific needs of the clients and the supporting business cases. • Build new Data capabilities, solutions, assets, accelerators, and team competencies. • Manage multiple opportunities through the entire business cycle simultaneously, working with cross-functional teams as necessary. Preferred qualifications • Must have designed the E2 E architecture of unified data platform covering all the aspect of data lifecycle starting from Data Ingestion, Transformation, Serve and consumption. • Must have excellent coding skills either Python or Scala, preferably Python. • Must have experience in Data Engineering domain with total • Must have designed and implemented at least 2-3 project end-to-end in Databricks. • Must have experience on various data bricks components. • Must have knowledge of new features available in Databricks and its implications along with various possible use-case. • Must have followed various architectural principles to design best suited per problem. • Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments. • Must have strong understanding of Data warehousing and various governance and security standards around Databricks. • Must have knowledge of cluster optimization and its integration with various cloud services. • Must have good understanding to create complex data pipeline. • Must be strong in SQL and spark-sql. • Must have extensive knowledge of Spark and Hive data processing framework. • Must have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS/S3, ADF/Lambda, Cosmos DB/Dynamo DB, ASB/SQS, Cloud databases. • Must be strong in writing unit test case and integration test. • Responsible to set best practices around Databricks CI/CD. • Must understand composable architecture to take fullest advantage of Databricks capabilities. • Experience around Dev Sec Ops including docker and Kubernetes. • Software development full lifecycle methodologies, patterns, frameworks, libraries, and tools • Knowledge of programming and scripting languages such as Java Script, Power Shell, Bash, SQL, Java, Python, etc. • Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, Alteryx • Experience with visualization tools such as Tableau, Power BI • Experience with machine learning tools such as ml Flow, Databricks AI/ML, Azure ML, AWS sagemaker, etc. • Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project teams by building consensus and mediating compromises when necessary. • Experience coordinating the intersection of complex system dependencies and interactions • Experience in solution delivery using common methodologies especially SAFE Agile but also Waterfall, Iterative, etc. Demonstrated knowledge of relevant industry trends and standards Please share your Profile only if the JD matches at

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