Over 20+ years of experience in Data & BI technologies and program with excellent leadership and communication skills
Should have led and executed complex programs on Data in both on-prem and cloud environments (Azure cloud is mandatory)
Should have strong working experience on Data Lakehouse architecture
Should have in depth knowledge on different ETL & BI tools like SSIS (ETL Tool), StreamSets (ETL Tool), Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events
Should have handled governance at CXO level and engaged with multiple stakeholders at VP+ level
Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs
Should have executed atleast 2 Cloud based programs including Cloud Data Warehouses like Azure Synapse
Should have cross global location experience and led teams of 30+ members in a global delivery mode
Should have led atleast 3 consulting engagements for different Fortune 100 clients
Should have led client workshops for Data programs
Should have knowledge on Microservices & Service Oriented Architecture
Should have led opportunity discussions, estimated and submitted proposals to client
Responsibilities:
Lead the engagement to formulate the Data Strategy & Architecture for client
Lead a team of InfoVision and client team members
Engage with client CXOs and VP+ to understand the business priorities and goals required to finalize the data strategy & architecture
Understand business & technology goals from client and create roadmap with different features and capabilities to achieve these goals
Understand data platform/application objectives, arch, key business process, data domains, tech stack, data pipelines, dashboards & KPIs, upstream and downstream dependencies, challenges, pain points, security and future aspirations
Work with stakeholders to collect inventory of applications and perform application discovery working alongside program and client team members
Setup governance for this program and engage with client leadership to tie stakeholder feedback into the workshops
Perform discovery with tech and business stakeholders to understand and align on application complexity, criticality, prioritization, risks, dependencies, integration points and consumption patterns
Conduct discovery sessions and workshops to understand current landscape, evaluate alternate data architectures and recommend/finalize Data Strategy (including MDM and Data Governance)
Formulate a future state architecture along with tech stack across each layer
Define roadmap with phase wise timeline and estimate the scope
Define, design and implement solution architecture for this program
Review technical deliverables for team and ensure it is aligned with designed architecture
Define, design and implement the CI/CD process for the program
Ensure cloud and data security considerations are handled for this architecture