Lead Data and Analytics Architect
Role details
Job location
Tech stack
Job description
We are seeking an experienced Solutions Architect to partner closely with Deloitte IT and business stakeholders to design and deliver scalable Data & Analytics solutions that align with firm strategy and business objectives. This role will be responsible for defining and governing end-to-end architecture across modern cloud-based platforms, with a strong focus on Microsoft Azure services, data warehousing, and enterprise analytics., * Collaborate with Deloitte IT teams and business stakeholders to design analytics and data solutions aligned with organizational goals and strategic initiatives.
- Design, implement, and oversee enterprise data architectures leveraging Azure and other cloud platforms, including data lakes and data warehouses.
- Own end-to-end solution architecture from requirements gathering and design through deployment and production support.
- Define and maintain logical, physical, and technical architecture views and supporting design documentation.
- Establish architecture standards, reusable frameworks, common data models, and governance practices.
- Ensure non-functional requirements (NFRs), including scalability, performance, reliability, availability, and security, are incorporated into solution designs.
- Review technical artifacts, design documents, and implementation deliverables developed by engineering teams.
- Partner with release management and DevOps teams to support solution deployment across environments.
- Identify technical risks, dependencies, and mitigation strategies throughout the project lifecycle.
- Support project estimation, roadmap planning, and technology decision-making.
- Mentor Technical Leads, Engineers, and development teams on architecture best practices and emerging technologies.
Requirements
The ideal candidate will possess deep expertise in cloud-native architecture, data platforms, and distributed systems, while providing technical leadership, mentoring, and governance throughout the solution lifecycle., * 10+ years of experience in Information Technology, including 3+ years in a Solution Architecture, Technical Architecture, or Enterprise Architecture role.
- Proven experience architecting enterprise-scale Data & Analytics solutions.
- Strong background designing and implementing end-to-end architecture within Azure PaaS environments.
- Experience translating business requirements into comprehensive architecture and solution designs.
- Demonstrated expertise designing distributed, highly available, scalable, and resilient applications.
- Strong technical documentation skills, including:
- Architecture diagrams and views
- Technical design specifications
- Technology blueprints
- Solution architecture documents
- Ability to evaluate emerging technologies, open-source tools, and industry trends and provide architectural recommendations.
Technical Skills Data & Analytics
- Hands-on experience with:
- Apache Spark
- Azure Databricks
- Experience designing modern data lake and data warehouse architectures.
Databases & Storage
- Experience with:
- MongoDB
- Azure Cosmos DB
- Redis
Messaging & Integration
- Experience with messaging and queueing technologies, including:
- Azure Service Bus
Containers & Orchestration
- Experience with:
- Kubernetes
- Docker
Microsoft Azure Technologies
Experience with many of the following Azure services:
- Azure Data Lake
- Azure Synapse Analytics
- Azure SQL Data Warehouse
- Azure Stream Analytics
- Azure Data Factory
- Azure SQL Database
- Azure Cognitive Services
- Azure Key Vault
- Azure Active Directory (Azure AD)
- Power BI
Monitoring & Observability
- Experience implementing cloud monitoring and observability solutions, including:
- Azure Application Insights
- Azure Monitor
MUST HAVE A DEEP UNDERSTANDING OF THE TECHNICAL STACKS, HANDS ON TECHNICAL SKILLS AND ABILITY TO SOLVE COMPLEX PROBLEMS INDEPENDENTLY