Offer summary

Qualifications:

10+ years of IT experience in Data Warehouse, ETL, and cloud data engineering., Strong knowledge of information management concepts and data analytics platforms., Expertise in data modeling and information classification at the enterprise level., Experience with data modeling tools such as Erwin and a good understanding of data security and governance standards..

Key responsibilities:

Establish and manage Global Data/Information Architecture for both traditional and modernized systems.

Architect solutions that align with business and IT needs, creating Data Platform and Analytics roadmaps.

Engage with stakeholders to translate technical concepts into business language and manage expectations.

Apply technical knowledge to ensure the long-term viability of new deployments and infuse key analytics technologies.

Job description

Total 10 + yrs of IT experience in Data Warehouse/ETL /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 Conceptual/Physical 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.

Required profile