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IT Senior Data Architect

Overview
At Fulton Financial Corporation, the Data organization works with various data technologies to better manage our data and provide a platform to democratize data and analytics across the enterprise. This position is responsible for researching, analyzing, designing, and delivery of data architecture solutions to match business and IT strategy. He/she will drive architecture engagement models and be an ambassador for partnership and delivery with the business and with strategic vendors. He/she will develop architectural patterns to meet requirements and develop standardized architectural artifacts to capture the design. He/she will effectively communicate complex technical concepts to team members and work with large and varied technical and project teams.
Office space available in East Petersburg, PA and Philadelphia, PA
As a condition of employment, individuals must be authorized to work in the United States without sponsorship for a work visa by Fulton Financial Corporation currently or in the future.
Responsibilities
Senior Data Architects work on a broad range of projects as well as provide technical oversight for other members of a project team.
Work with business product owners to understand business requirements and use cases
Create technical and business solutions architectures (logical and physical)
Resolve questions during design and implementation of architecture
Evaluate tools for use case fit, perform vendor/tool comparisons and present recommendations
Contribute to the capability roadmaps for data platforms
Review schemas, data models and data architecture for big data and traditional environments
Prototype solutions for specific use cases
Advise peers and business partners on fit-for-use and technical complexities
Partner with other technical leaders for solution alignment with strategy and standards
Define corporate data architecture and related standards for data integration architecture, data warehouse and business intelligence architecture, taxonomies and namespaces, data modeling tools and standards, metadata standards and requirements.
Perform architecture design, data modeling, and implementation of platform architecture and analytic applications.
Work with Data Governance team to design and manage reference data and master data programs.
Define and maintain architectural patterns in support of data governance.
Establishing metadata management policies and procedures.
Provide regular advice, direction and support to data analysts with hands on demonstrations of proper techniques and disciplines across all functions.
Deliver these functions using industry best practices with a thorough understanding of the full systems development lifecycle.
Act as a role model for documentation, communication, scripting and adherence to established Information Technology governance standards and procedures.
QualificationsEducation:
Bachelor Degree or equivalent experience. Specialty: Relevant degree pertaining to the essential duties of this role. (Required)
Bachelor's Degree (Preferred).
Experience:
5 or more years of experience with end-to-end solution architecture for data including data modeling, architecture, processes and controls, and reporting support.
3 or more years of experience with solutions in cloud environments such as AWS/Azure or with Hadoop.
5 or more years of experience with Data modeling software, such as ERWin or ER Studio.
Experience with BI Software, such as PowerBI, including semantic layer management
5 or more years of experience with SQL Server and Oracle including SQL queries and stored procedures. Familiar with data cleansing software.
Experience with ELT/ETL development, patterns and tooling
Experience in real time and batch data ingestion
Experience implementing Data security & masking with encryption, obfuscation, user entitlements by enabling role based access to the data based on PCI, NPPI for compliance with tools like Kerberos & Ranger
Experience with Graph and No-SQL databases
Metadata management, data lineage, data governance, especially as related to Big Data. Structured, Unstructured, Semi-Structured Data techniques and processes
Experience with advanced analytic tools such as Python, R and SAS.
Subject area expertise in Retail Banking, Retail Lending, Commercial Banking or Commercial Lending preferred.
Solid communication skills and proficiency with Excel, Word and PowerPoint. (Required)
Certifications:
DAMA Certified Data Management Professional or TWDI Certified Business Intelligence Professional. (Preferred)
DAMA Data Management Body of Knowledge. (Preferred)
TOGAF (Preferred)
EEO Statement Fulton Financial Corporation ("Fulton") is an equal opportunity employer and is committed to providing equal employment opportunity for all qualified persons. Fulton will recruit, hire, train and promote persons in all job titles, and ensure that all other personnel actions are administered, without regard to race, color, religion, creed, sexual orientation, national origin, citizenship, gender, gender identity, age, genetic information, marital status, disability, covered veteran status, or any other legally protected status.



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