Minimum 10 years of experience in Data Warehouse, ETL, and cloud data engineering.
Proven expertise in establishing global data and information architecture.
Strong application integration skills and familiarity with modern cloud architecture techniques.
Excellent stakeholder management and communication skills, with the ability to translate technical concepts to business outcomes.
Requirements:
Design and architect data solutions that meet business and IT needs.
Create data platform, analytics, and AI roadmaps ensuring long-term viability.
Manage stakeholder expectations and communicate technical information effectively.
Implement data security and governance standards across projects.
Job description
Total 10 + yrs of IT experience in Data WarehouseETL cloud data engineering
Proven track record in establishing Global Data Information Architecture (traditional and modernized)
Application integration experience, including data integration design, and familiarity with modernized cloud architecture techniques.
Proven stakeholder management skills with strong communication and persuasion skills, including the ability to translate the information architecture contribution to business outcomes into simple briefings for Senior Management. Convey the Why .
Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.)
Strong knowledge of information management concepts, data warehousing, data analytics platforms and relational database engines.
Data modeling and information classification expertise at the enterprise level.
Experience on Data Modelling tools Erwin and ConceptualPhysical Data Model
Good understanding of data security and governance standards
Stakeholder Management : Strong integrated consultancy skills (not just an order taker or requirement gather ), demonstrated ability to influence and manage the expectations of senior business stakeholders, team members, IT management and external partners.
Proven ability to translate complex technical concepts to business language.
