|Position||00340 SVP Data Engineering- Hybrid|
|Salary||160-170k Plus Bonus|
|Contact Name||Steve Silvi|
|Description||As the SVP- Data and Solution Architecture you will be responsible for the creation, implementation, and refinement of delivery best practices for data and Business Intelligence (BI) applications and also accountable for overall Enterprise Architecture direction, strategies, roadmaps, and execution plans across all functional areas, applications, based on the overall objectives of business leadership; drives plans for executing against those deliverables to achieve desired results.|
In partnership with senior business and technology stack-holders, implement Data governance, Enterprise Data, and Analytics standards.
Development of a Data Engineering and Data Fabric Strategy for rapid delivery of data to business users and applications will be essential, as well as, the tracking of business adoption metrics.
This role will establish efficient scalable design and delivery practices for maximizing the business value gained from data.
Drive operational efficiency by maintaining Client's data ecosystems, sourcing analytics expertise, and providing Data As-a-Service offerings for continuous insights and improvements
Lead an enterprise-wide Data Governance, Data management, and Architecture
Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights
Create a roadmap and implement leveraging cloud-based data platforms
Creation and adoption of data delivery standards that maximize current technology platforms and adapt to new data technology
Selection and implementation of data management technologies and industry best practices;
Establish a data governance Council and Participates in and facilitates meetings for the Data Governance.
Partner with functional business areas to identify analytics opportunities and develop strategic roadmaps
Plan and forecast long term resource demands
Communicates all data rules to internal stakeholders.
Collaborates with data owners and data custodians to identify and resolve more complex data governance issues in a timely and collaborative manner.
Serves as a resource to internal stakeholders on more complex Data Governance solutions that optimize requirements and achieve desired business results.
Implement the SDLC process
Enable Mulesoft API environment for ETL, data consumption, and transformation
Develop and manage data engineering practices, standards and guidelines
Create a centralized Meta Data Management process
Create a center of excellence for Data, BIG Data, BI, Analytics, AI/Machine learning
Provide overall Enterprise Architecture leadership across all business areas, technology domains, and architecture services
Drive strategy and vision for platform architecture. Define a cross-cloud approach (Azure, Google, AWS Cloud Platform) and direct technology selection
Establish and maintain both current and target-state Enterprise architecture
Evaluate and advise on new technologies
Ensure that overall Enterprise Architecture Designs and Tool/Vendor selections facilitate and/or support the strategy and execution techniques
Lead the creation of enterprise technology standards and guidelines.
Engage with Information and Risk Compliance teams to ensure the enterprise technology architecture addresses security and protection of data, information systems, and equipment; actively helps inform and identify opportunities to implement security, privacy, risk management, and disaster recovery initiatives and best practices.
Provide leadership and direction for defining application-specific cloud strategy aligned with business domain priorities
Analyze the business drivers that determine key architecture requirements for various cloud service delivery models
(IaaS, PaaS, SaaS etc.) along with cloud-specific services such as Amazon SQS, Lambda, RDS etc.
|Requirements||Bachelor’s degree in areas such as Business Administration, IT, HR, Finance, etc. from an accredited institution.|
In-depth professional experience with data warehousing
Proficient in Microsoft Business Intelligence platform, including SQL Server, Microsoft SQL Server Reporting Services and Microsoft SQL Server Integration Services
Advanced knowledge of database structure, theory and ETL processes.
Advanced Proficiency in Microsoft Office including Excel, Word and Outlook.
Strong logic and analytical skills.
Ability to interpret business needs and translate requests into actionable tasks.
Ability to effectively manage and supervise staff
Strong written and verbal communication skills, professional demeanor and ability to interact comfortably with all levels of staff, vendors and third parties.
Organized and superior attention to detail.
Knowledge of banking terminology and processes preferred.
Experience with best-in-class visualization systems.
Advanced degree in related field.