Senior Data Architect - SQL, Snowflake, Cloud
Wilmington, DE, United States
Full Time Senior-level / Expert USD 107K - 179K
M&T Bank
With a community bank approach, M&T Bank helps people reach their personal and business goals with banking, mortgage, loan and investment services.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:
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 (GCP) Certification.
Tags: Agile Architecture AWS Azure Data governance Data management DataOps DCAM Engineering FinTech GCP Google Cloud Snowflake SQL STEM TOGAF
Perks/benefits: Competitive pay Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.