Big Data Architect

blue Stone Recruiting is a national search firm with a focus on placing top Web and Applications talent. We are working with a large Financial company who is looking for someone who has designed solutions, or designed architecture, transitions from current state to future state architectures, design of services integration layer or data integration layers, etc.

Candidate must have a minimum of 6 years’ experience in end-to-end data solutions, implementing and designing end-to-end information solution architectures. Candidate must have executive presence and ability to interact with executive client suite. Experience in the financial services industry is preferred.

Deep proven ability to successfully create and manage data solutions and implementations in a big four consulting environment is required. Ability to provide alternative solutions to solve specific or strategic problems.

• Candidate must have a minimum of 6 years’ experience in end-to-end data solutions, implementing and designing end-to-end information solution architectures. Candidate must have executive presence and ability to interact with executive client suite. Experience in the financial services industry is preferred.
• Deep proven ability to successfully create and manage data solutions and implementations in a big four consulting environment is required. Ability to provide alternative solutions to solve specific or strategic problems.

• Data transformations, solutions architecture, data integration, data warehousing, big data solutions, fast data (in memory) solutions, data platform optimization and performance, related vendor platforms, cost benefit analysis, vendor relations.
• Data management solutions: reference and master data management solutions, unstructured data solutions, content management and related market landscape.
• Platform and data usage specific data modeling disciplines and techniques. Experience in one or more of the following methodologies: BMPN, TOGAF, CBM, BIAN, Zachman, BMBOK, etc.
• Data integration solutions: ETL design, messaging, or batch design.
• Data processing: experience in Hadoop/Map Reduce, SQL MPP, In Memory processing (gemfire). Analytics processing, OLAP, No
  
  SQL, federated SQL.
• Service platforms: cloud computing, PaaS, SaaS, virtual data storage solutions and related integration.
• BI & data analytics: reporting, OLAP, dashboards and predictive analytics solutions and platforms.
• Masters Degree Required

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