Analyze, design, and develop enterprise data and information architecture deliverables, focusing on data as a strategic asset. Adhere to reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including collaboration.
Design, build, and deploy scalable cloud-based solution architectures.
Create lakehouses in Azure and build real-time streaming analytics platforms leveraging Azure services.
Work with public cloud platforms such as AWS and Azure.
Proficient in Python and SQL.
Build data lakes and data warehouses to support operational and business intelligence.
Utilize serverless computing and Azure Functions.
Work with Cosmos DB, Azure Data Explorer, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Machine Learning, or equivalent tools and technologies.
Experience with Kafka and other event streaming mechanisms.
Implement monitoring/alerting techniques and APM tools.
Automate infrastructure provisioning, DevOps, or Continuous Integration/Delivery.
Knowledge of containerization and container orchestration technologies.
Expertise in Object-Oriented Programming and Design Patterns.
Proficient in one or more programming languages such as Java, Go, JavaScript, C++, or similar.
Familiar with standard IT security practices such as identity and access management, SSO, data protection, encryption, certificate, and key management.
Understand infrastructure components such as storage and networking.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Self-starter with the ability to take initiative and work well under pressure.
Business-minded approach to time, costs, and milestones.
Lead the analysis of the technology environment to detect critical deficiencies and recommend improvements.
Highly organized, able to balance multiple priorities, and self-motivated.
Preferred: Azure Certifications in Associate and Expert levels for Data Services.
Familiarity or experience with building AI/ML solutions.
Key Responsibilities:
Drive digital innovation by leveraging new technologies and approaches to renovate, extend, and transform existing core data assets, including SQL-based, NoSQL-based, and cloud-based data platforms.
Develop and communicate enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses.
Design, develop, and implement integrations based on user feedback.
Collaborate with solution architects, cloud services, enterprise data management, and product managers to iterate on the design and implementation of Fulfillment Services Data Strategy.
Design Azure-based technical architectures, migration approaches, and application optimizations that enable the product.
Draft and review architectural diagrams, interface specifications, and other design documents such as Architectural Decision Records.
Focus on overall product data quality and user experience.
Build standards, processes, and procedures to deliver optimal results.
Create data pipelines for various streaming use cases.
Act as a technical advisor and troubleshoot to resolve technical challenges with data product-related infrastructure and applications.
Promote the reuse of data assets, including managing the data catalog for reference.
Mentor team members in data principles, patterns, processes, and practices.
Implement automation tools and frameworks (CI/CD pipelines).
Troubleshoot production issues and coordinate with the development team to streamline code deployment.
Author and publish data governance models, data lineage, and data dictionary for Fulfillment Services Data Catalog.
Contact: agadkari@judge.com
This job and many more are available through The Judge Group. Find us on the web at www.judge.com