Required Skills

Data Architect

Work Authorization

  • US Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 21st Oct 2022

JOB DETAIL

  Total 10 + yrs. of IT experience in ETL /Big Data Technologies

  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 .

  Demonstrated experience in solution architecture design & integration to enable modernized cloud based Data Warehouse and Analytics Platform.

  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.)

  Data modeling and information classification expertise at the enterprise level.

  Strong knowledge of information management concepts, data warehousing, data analytics platforms and relational database engines.

  Good understanding of data security and governance standard

  Basic understanding of AI/ML approaches leveraging data on Azure

  Process orientation experience (i.e., able to build repeatable and reusable processes).

  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.

  Knowledge of advanced analytics (i.e. Big Data) tools and concepts.

  Knowledge of business intelligence tools and concepts."

 

Company Information