Azimuth
Website:
azisoft.com
Company:
https://www.linkedin.com/company/azimuth-grc
Seniority: Mid-Senior level
Industries: Information Technology & Services
Job details:
Company Description Azimuth is a regulatory technology company transforming how organizations in highly regulated industries manage compliance with state and federal laws. The company has built a unified platform that codifies every applicable law, replacing manual, spreadsheet-based processes with automated, enterprise-wide compliance management. Its flagship product, Azimuth Validator, can trace operational controls and perform automated compliance testing down to each legal requirement, enabling rapid testing of entire loan portfolios. Founded by industry veteran Rohin Tagra, formerly an executive at JPMorgan Chase, Lender Processing Services, and Bank of America, Azimuth combines deep financial services expertise with cutting-edge technology. Professionals joining Azimuth can expect to work on impactful solutions that directly improve compliance efficiency and accuracy for major institutions.
Responsibilities-
- 12+ years of experience with Azure Databricks, Azure Data Factory, and Pyspark
- 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 and Python.
- 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.
- Hands-on experience with Unity Catalog, Job Clusters, Databricks Deployment Bundles, Databricks Dashboards, Automations, and AI/BI Dashboards.
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