DataBricks Architect Lead

2 weeks ago

Jacksonville, United States Editech Staffing Full time
Job DescriptionJob Description

DataBricks Architect Lead


Jacksonville, FL / Onsite / Contract to hire


Job Summary


  • Conceptualize and communicate Data architecture strategy, technical design and technology roadmap for data platform solutions and services.
  • Lead design and development of data architecture to support implementation of large-scale data solutions in Databricks to support multiple use cases (delta lake, cloud Datawarehouse migrations, reporting and analytics).
  • Guiding the organization and development teams on the overall data processes, architectural approaches for data strategy design and implementation.
  • Providing data solutions that enable business intelligence data integrations, data services, self-service analytics, and data-driven digital products and services.
  • Articulating the value proposition of cloud modernization/transformation to stakeholders; creating detailed documentation that empowers other engineers and customers.
  • Architecting the solutions for Databricks-specific use cases (streaming and batch) as well as integrating it into other solution components in the customer architecture landscape.
  • Translating the advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains.
  • Implement architectural improvements for existing solutions using legacy modernization and cloud adoptions strategies.
  • Creating Azure Data Factory processes for SQL and NoSQL data pipelines, and work in Azure SQL, to create tables, views, stored procedures, and other database objects.
  • Creating applications through Scala, Python, and Java.
  • Developing Spark tasks for data aggregation and transformation
  • Writing Scala style documents with each code.
  • Identifying technical issues (performance bottlenecks, data discrepancies, system defects) in data and software, perform root cause analysis, and communicate results effectively to the development team and other stakeholders
  • Providing recommendations on opportunities and improvements and participating in technology and analytics proof-of-concepts


Required Qualifications


  • Bachelors Degree in Computer Science, Data, Information Systems, or related field
  • 8+ years of experience with Azure Databricks, Azure Data Factory, and Pyspark
  • 5+ years experience working in Microsoft Azure
  • 3+ years experience with Python to extract data from unstructured files, such as XML, PDF, HTML
  • Highly proficient in use of Spark and Azure Databricks
  • Experience with deployment and builds using Azure DevOps
  • Experience in an agile development environment, or an understanding of the concepts of Agile software development
  • Excellent communication, organization, technical, and project management skills
  • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks/Apache Spark); preferably Databricks certified; experience driving technical workshops with technical and business clients to derive value added services and implementation.
  • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
  • Knowledge of the Databricks ecosystem



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