Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed.
Experience designing, building, and deploying scalable cloud-based solution architectures
Expertise in creating lakehouses in Azure and building Realtime Streaming Analytics Platform leveraging Azure Services
Experience working with public cloud platforms such as AWS, Azure
Expertised in Python, SQL
Experience building data lakes & data warehouses to support operational intelligence and business intelligence
Experience working with Serverless Computing & Azure Functions
Experience 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 & technologies
Experience with Kafka and/or other event streaming mechanisms
Experience with monitoring/alerting techniques and APM tools
Experience automating infrastructure provisioning, DevOps, or Continuous Integration/Delivery
Knowledge of containerization and container orchestration technologies.
Good understanding and/or experience writing software in one or more languages, such as Java, Go, JavaScript, C++, or similar
Familiarity with standard IT security practices such as identity and access management, SSO, data protection, encryption, certificate, and key management
Familiarity and good understanding of infrastructure – storage, networking etc.
Strong analytical problem-solving skills
Excellent written and verbal communication skills
Self-starter takes the initiative and works well under pressure
Business-minded approach to time, costs, and milestones
Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
Must be very organized, able to balance multiple priorities, and self-motivated
Familiarity or experience with building AI/ML solutions