Sr Solution Data Architect

Key Desired Qualities:

• Collaborators who can bring together business & Technology.
• Technologists who want to advocate for new ways of doing things while also improving our existing applications
• Critical thinkers who can take high level concepts and turn them into real world workable solutions.
• Strong problemsolving and troubleshooting skills with the ability to analyze and resolve complex issues.
• Excellent communication and collaboration skills to work effectively with crossfunctional teams.

Key responsibilities will include:

• Strategic Architecture direction and support for data Organizations
• Working across teams to ensure visibility to ongoing and upcoming deliverables strategies and tactical approaches.
• Mapping out plans for horizontal components that can be leveraged throughout the data organization.
• Analyzing new technology and determining best fit for the bank
• Helping define the direction of data architecture for the next 35 years.
• Deliver high quality architecture solutions for large multigenerational programs spanning one or more business domains to support organizational missions.
• Adhere to and help create enterprise principles and standards based on industry best practices
• Create and maintain the target application architecture and blueprints along with strategic roadmaps.
• Maintain reference architecture and defines shared application components platforms interfaces and development tools
• Provide highlevel design choices and recommendations based on architecture alternative analysis
• Effectively communicate designs and solutions in multiple forums and to various audiences including technology and business executives.
• Collaborate with other Architects within the organization and enterprise
• Offer technical guidance on technical standards including coding standards tools or platforms

Key skills will include:

• Academic education in Technology/Engineering disciplines or equivalent experience
• 710 years of experience in developing data solutions of which 35 years in data Architecture
• Proficient in defining solutions to solve large scale complex business problems with high resiliency scalability performance and concurrency requirements.
• Proven experience as a Data Architect with a focus on solution design and data strategy
• Strong understanding of modern data architectures cloud technologies and big data processing frameworks
• Proficiency in Hadoop ecosystem components such as HDFS YARN MapReduce Hive Spark and HBase.
• Experience with cluster management tools like Apache Ambari or Cloudera Manager.
• Knowledge of database concepts and SQL.
• Experience with data ingestion tools like Apache Kafka or Apache NiFi.
• Familiarity with data warehouse concepts and technologies.
• Excellent communication and interpersonal skills with the ability to articulate complex technical concepts to nontechnical stakeholders
• Proficient in researching and understanding new technology solutions and present essential comparisons pros/cons and target use cases
• Proficient in collaborating with business and technical resources to understand and develop solutions that meet business requirements translating strategy and objectives when necessary.
• Be a thoughtleader
• Be open minded and inclusive seeking diverse opinions
• Proficient in leading discussions in a matrix environment focusing on team and organizational success
• Proficient in representing architecture in various architecture forums within the enterprise
• Proficient in communicating with impact (written and verbal) and influence decisions across LOB and technology
• Understanding of security principles and experience implementing security measures in Hadoop clusters.