Responsibilities include but are not limited to:

• Drive Valley’s Enterprise Integration delivery including gathering business requirements, defining product roadmap, overseeing design, managing delivery and implementation of ETL interfaces.
• Align integration design with technical design authority & architecture review board, implemented as intended and within Valley guidelines and policies.
• Delivery via MVP and iterative, agile-style cycles of development.
• Promote an evolutionary architectural approach, allowing designs to evolve as new requirements emerge.
• Manage transparency and flow of information related to project delivery and include consideration of operational challenges when building solutions.
• Facilitate business analysis, data acquisition, data storage, query optimization, archiving and recovery strategy, data ingress and egress, security and change management at the enterprise level.
• Leverage cloud-based application architectures and development, integration, distributed data management, and application testing.
• Balance short-term tactical decisions with longer term aspirations to ensure that technical debt is kept at an acceptable level.
• Work across teams to support the creation of non-functional requirements, including but not limited to performance thresholds and security considerations.
• Translate strategic IT requirements and parallel data initiatives into the integration framework, which may include reference data management, data protection, RBAC, data quality and release management.
• Develop internal and external checks and controls to ensure proper governance, security, and quality of data assets.
• Interface across several business areas, acting as a leader and team member to proactively assist in defining the direction for future projects.
• Communicate complex technical information to all areas of Valley Business and Technology Leadership and project stakeholders, including those without a technical background to capture non-functional requirements.

Requirements:

REQUIRED SKILLS:

• Demonstrated technology and personal leadership experience in architecting, designing and building highly scalable cloud-based data solutions.
• Enterprise scale expertise in data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration frameworks, highly scalable distributed systems and emerging data architecture designs/patterns.
• Experience with Azure Data Factory, Azure DataBricks and SnowFlake (similar cloud technology experience will also be considered).
• Expert ability to evaluate, prototype and recommend open source and vendor technologies and platforms.
• Proven experience in relational, NoSQL, Graph, Microservices, ELT technologies and in-memory databases.
• Hands on development experience in one or more of the following: PL/SQL, Java, Python, ETL tools, MQ/kafka messaging, MuleSoft.
• Knowledge of the Software development life cycle as well as Agile methodologies.
• Familiarity with regulations applicable to a financial institution - consumer privacy laws, management of sensitive and confidential PII/PCI datasets.

REQUIRED EXPERIENCE:

• Bachelor’s degree in quantitative/relevant field such as Statistics, Computer Science, Economics, Mathematics or Data Science.
• Minimum of 5 years of experience with large and complex systems in a financial institution with a minimum of 2 years managing technology teams.
• Technology Program delivery in a hands-on manner.
• Experience as a systems engineer, solution architect, data scientist and ETL developer.
• Expertise in data warehousing, data integration and development design patterns.
  Pay Transparency In order to support the Fair Compensation Strategy by the US Govt., HR Dept., clients are required to adhere to “Pay Transparency Law”; in the impacted states; that have mandated the employers to list the salary ranges in Job advertisements or postings for job opportunities and Job promotions

• Drive Valley’s Enterprise Integration delivery including gathering business requirements, defining product roadmap, overseeing design, managing delivery and implementation of ETL interfaces.
• Align integration design with technical design authority & architecture review board, implemented as intended and within Valley guidelines and policies.
• Delivery via MVP and iterative, agile-style cycles of development.
• Promote an evolutionary architectural approach, allowing designs to evolve as new requirements emerge.
• Manage transparency and flow of information related to project delivery and include consideration of operational challenges when building solutions.
• Facilitate business analysis, data acquisition, data storage, query optimization, archiving and recovery strategy, data ingress and egress, security and change management at the enterprise level.
• Leverage cloud-based application architectures and development, integration, distributed data management, and application testing.
• Balance short-term tactical decisions with longer term aspirations to ensure that technical debt is kept at an acceptable level.
• Work across teams to support the creation of non-functional requirements, including but not limited to performance thresholds and security considerations.
• Translate strategic IT requirements and parallel data initiatives into the integration framework, which may include reference data management, data protection, RBAC, data quality and release management.
• Develop internal and external checks and controls to ensure proper governance, security, and quality of data assets.
• Interface across several business areas, acting as a leader and team member to proactively assist in defining the direction for future projects.
• Communicate complex technical information to all areas of Valley Business and Technology Leadership and project stakeholders, including those without a technical background to capture non-functional requirements