Hybrid - Presales Solution Architect - Data

Microsoft DataOps Architect 

The DataOps Architect is a customer-facing role, that will be responsible for the design, modernization, and deployment of enterprise-level data estates, leveraging Microsoft’s ecosystem of data technologies and native Azure services, with strong focus on data governance and DataOps best practices.. This role will be working closely with technical leads from both the Cloud Practice and DevOps Practice, integrating the various data components with the overall solution, and ensuring it aligns with the industry best practices such as Well Architected and Cloud Adoption Frameworks 

This role is expected to provide technical thought leadership, establish proven design patterns and implementation processes for evaluating and/or rearchitecting data landscapes in a wide range of maturity states, creating the long-term remediation strategy, defining relevant milestones that help catalyze the customer’s business objectives.

They will be working with cloud engineers and developers to ensure best practices and proper utilization of resources. A successful candidate will also be responsible for working with the customers with model deployment / operations. You will also help in making sure they have all the tools and insights needed to make informed decisions about the maintenance and evolution of the data landscape  

Strong familiarity with the Azure cloud platform is obviously a must, specifically experience with Azure and Microsoft data platforms, as well as BI, reporting, data pipelines, and data warehouses / data lakes

Responsibilities  

• Provide senior level technical expertise assessing and modernizing obsolete / partially deployed data warehouses, unconsolidated collections of proprietary data islands, haphazard and poorly managed user data repos, etc. helping them move to a modernized data landscape, leveraging centralized data lake, with proper governance framework to empower self-service analytics and democratized modeling and data movement aimed at analyst communities
• Act as lead resource for data estate architecture reviews; perform readiness assessment for cloud and help with the appropriate migration strategies and reference architecture 
• Work in tandem with a cloud architect assessing an application’s cloud readiness, this role will focus on the customer's data ecosystem, and provide overview of its cloud readiness, as well as gap analysis for their data management and governance
• Provide technical leadership and become a trusted advisor to the cloud & data teams; provide guidance in adopting the best practices, proper governance, and empowered analyst user stories
• Works with business users to design, develop, test, and implement business intelligence solutions in the Data & Analytics Platform. Build Data Lakes / Data Catalogs to provide actionable insights into prioritized processes and data points, and other key business performance metrics
• Develop optimal data pipeline architecture to align it with business requirements
• Design the end-to-end aspects of the data architecture including resilience and optimized for performance, cost, and security in-line with well-architected framework & industry best practices
• Collaborate closely with developers helping to leverage DevOps best practices, following agile methodology, helping modernize their processes and adopt continuous integration & development methodology

• Ensure security is integrated into all workflows, data repositories, and architecture solutions; work to continuously build and improve security posture [KeyVault, Policies, RBAC, Data Privacy, Classification, etc]  
• Creating and maintaining reference architecture documentation 
• Stay abreast of industry best practices, identify and drive opportunities to improve reference architectures, and implementation processes  

Skills