Overview
Remote
On Site
USD 107,656.56 - 179,427.60 per year
Full Time
Skills
SAP BASIS
Scalability
Snow Flake Schema
Data Flow
Meta-data Management
Ontologies
Software Development
Data Management
Media
Cyber Security
Collaboration
Identity Management
Documentation
User Stories
Use Cases
Data Engineering
Internal Control
Auditing
Higher Education
Management
Data Modeling
ERwin
Data Integration
Data Architecture
SQL
Data Governance
Agile
TOGAF
Cloud Computing
Solution Architecture
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Job Details
The Bank sponsors individuals for TN and H-1B transfers on a case by case basis. Please note that this position is not open to anyone on a H-1B or F-1 student visa including those eligible for CPT/OPT or the Stem OPT extension.
This role follows a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for onsite and in person collaboration the other three days.
FUNCTION:
Develops and maintains data models and data architecture designs. Plans, evaluates, recommends, and designs data models to ensure technology projects are cost-effective, compliant with enterprise policies and corporate technology standards and meet business and technology strategies.
Tech Stack - SQL, Snowflake, Erwin Data Modeler, DCAM
POSITION RESPONSIBILITIES:
MINIMUM QUALIFICATIONS REQUIRED:
IDEAL QUALIFICATIONS PREFERRED:
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $107,656.56 - $179,427.60 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Wilmington, Delaware, United States of America
This role follows a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for onsite and in person collaboration the other three days.
FUNCTION:
Develops and maintains data models and data architecture designs. Plans, evaluates, recommends, and designs data models to ensure technology projects are cost-effective, compliant with enterprise policies and corporate technology standards and meet business and technology strategies.
Tech Stack - SQL, Snowflake, Erwin Data Modeler, DCAM
POSITION RESPONSIBILITIES:
- Develop strong relationships with all data providers, data product consumers and other data stakeholders to understand design possibilities and data usage needs.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.
- Develop and implement data modeling best practices to ensure scalability, performance, and reliability.
- Design and develop scalable, high-performance data architectures on the Snowflake cloud data platform to meet the evolving business needs and data growth.
- Develop and maintain documentation of the data architecture, data flow, data models and metadata for various audiences.
- Support the creation of data assets, which may include a data model, associated metamodel, common business vocabulary, ontologies, and taxonomies, which will then be used to guide solution development and achieve consistency of data assets across the enterprise
- Contribute to and communicate data management standards relating to the location, media type and cybersecurity requirements to facilitate efficient and secure management of all data elements
- Collaborate with data teams to establish appropriate data access management approaches.
- Ensure consumers have the information and resources they need to use the data products (e.g., access to data, interactive documentation to help them understand data operations, etc.)
- Produce design artifacts with data modeling and other related tools.
- Deconstruct user story into technical designs, map to existing reference architecture and create new architecture patterns for use cases that don't map into an existing reference model.
- Participate in backlog grooming sessions with the data product team to ensure technical data solution and data models meet acceptance criteria.
- Work closely with the data engineering team to ensure the implementation adheres to the design and any technical obstacles are identified and addressed.
- Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite.
- Identify risk-related issues needing escalation to management.
- Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
- Complete other related duties as assigned.
MINIMUM QUALIFICATIONS REQUIRED:
- Bachelor's degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/ or work experience, including a minimum of 5 years related experience
- Experience with data modeling tools and other data discovery and management tools.
- Experience with data modeling, preferably using Erwin Data Modeler tool.
- Experience implementing data architecture and data integration concepts.
- Experience with data architecture capabilities on multiple platforms including Cloud, SQL, and other industry standard applications.
IDEAL QUALIFICATIONS PREFERRED:
- Minimum of 3 years data architect experience.
- Experience implementing data governance practices.
- Experience in FinTech.
- Experience with Agile methodology and working on an Agile team.
- Experience with Data Capability Assessment Model (DCAM).
- The Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS) and/or Google Cloud Platform (Google Cloud Platform) Certification.
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $107,656.56 - $179,427.60 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Wilmington, Delaware, United States of America
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.