- Track Assigned Audit/Review Results Related To Data Management And Compile Audit Information For Management Reporting.
- Supporting Data Architecture Team To Document And Publish Data Flows And Transformation Definitions, And Trusted Source Assessments
- Identify And Implement A Data Governance Platform Including A Data Catalog And Dictionary
- Partner With Data Analysts To Define Critical Data And Related Standards/Business Rules
- Facilitate The Development And Implementation Of Data Quality Standards, And Adoption Requirements Across The Enterprise
- Design And Develop Security Architectures For Cloud And Cloud Hybrid-Based Systems.
- Design And Implement Cloud-Native Architectures That Will Allow Business Requirements To Be Met With A Minimal Degree Of Risk To The Organization.
- To Be Able To Benchmark Systems, Analyze System Bottlenecks And Propose Solutions To Eliminate Them.
- Experience With Enterprise Applications (Architecture, Development, Support, And Troubleshooting).
- Ability To Perform Threat Modeling And Design Reviews To Assess Security Implications And Requirements For Introduction Of New Technologies.
- Involve In All Aspects Of Architecture, Design, Build, Engineering And Implementation Of Technical Solutions Using In Any One Of The Technical Platforms (Java, Microsoft, Azure, Aws, Big Data Stack Etc.,).
- Understand The Enterprise Architecture Roadmap And Research, Identify And Recommend Industry Best Practices For Solving Business Problems.
- Provide Recommendations And Technical Guidance To Improve Performance, Reliability, And Reusability Within The Constraints Of Budget, Resource And Business Dependencies.
- To Be Able To Help Program And Project Managers In The Design, Planning And Governance Of Implementing Projects Of Any Kind.
- To Be Able To Perform Detailed Analysis Of Business Problems And Technical Environments And Use This In Designing The Solution.
- To Be Able To Work Creatively And Analytically In A Problem-Solving Environment.
- To Be A Self-Starter.
- To Be Able To Work In Teams, As A Big Data Environment Is Developed In A Team Of Employees With Different Disciplines.
- To Be Able To Work In A Fast-Paced Agile Development Environment.
- Develop A Mental Model Of The Chosen Solution, And Document Using A Combination Of Text, Diagrams And Create Clear, Traceable Solution Documentation.
- 15+ Years Of Strong Solution Architecture Experience In Variety Of It Positions. Recent 5+ Years Of Experience Must Be On Solution/Systems/ Enterprise Architecture With Large Scale Complex It Systems.
- Continuous Learning And Keep Track Of The Latest Developments In Business/ Technical Advancements.
- High Energy Levels, Right Attitude And Pleasing Personality. Demonstrate The Compassion To Lead And Bring Value To The Architecture Portfolio.
Experience:
- Strong Data Governance Experience, Exposure For Ibm – Iand Ia A Plus
- Bachelor'S Degree Or Master’S Degree In Computer Science, Mathematics, Statistics.
- Demonstrated Ability To Work In A Fast-Paced, Highly Technical Environment.
- Excellent Communications Skills, Both Written And Verbal.
- Ability To Troubleshoot Complex System Issues.
- Ability To Handle Multiple Tasks Simultaneously.
- Ability To Translate User Requirements Into Technical Specifications.
- Ability To Train And Mentor Junior Level Developers.
- Strong Database Fundamentals Including Sql, Performance And Schema Design.
- Strong Understanding Of Programming Languages Like Java, Scala Or Python.
- Experience With Git.
- 10+ Years Of Hands-On Software Engineering Experience.
- 10+ Years Of Experience Integrating Technical Processes And Business Outcomes – Specifically: Data And Process Analysis, Data Quality Metrics/Monitoring, Data Architecture, Developing Policies/Standards &Amp; Supporting Processes.
- Experience With Spark, Hive, Hadoop, Kafka, Columnar Databases.
- Experience In Designing Solutions For Multiple Large Data Warehouses With A Good Understanding Of Cluster And Parallel Architecture As Well As High-Scale Or Distributed Rdbms And/Or Knowledge On Nosql Platforms.