Data Architect with Erwin at VDart Inc Remote

Ellenco Estágios e Treinamentos; United States; Remote; USD 99,000 - 135,000; Full time

Job summary

Fiserv seeks an expert to deliver a world class data architecture and governance framework. You will design data models (ER/Logical/Physical) for enterprise data assets across cloud and on‑premise environments, guiding best practices and standards.

With 15+ years in data design for financial services, you will drive reuse, ensure single version of truth, and lead modeling sessions with BI, IT and business partners to deliver robust prototypes and models.

Qualifications

• 15+ years designing data assets for performant operational stores and near real time data warehouses.
• Experience with Kimball and Inmon methods for data modeling.
• Strong communication and stakeholder facilitation across Business/IT/BI teams.

Responsibilities

• Deliver world class data architecture and governance across cloud or on-premise environments.
• Lead data modeling sessions with business and technical partners to capture requirements.
• Develop source-to-target mappings and data flow diagrams.

Skills

Data Modeling

Erwin

Power Designer

SQL Development

Snowflake

Power BI

Python

ETL

MongoDB

Oracle

Tools

Erwin Data Modeler

Matillion

DBT

SnapLogic

Collibra

Alation

Power BI

Job description

Client - Fiserv Location - Alpharetta, GA (remote is ok ) Rate - 85/ hour Erwin tool experience or Power Designer experience is must, don't submit any profile with out

Responsibilities

• An expert to deliver a world class data architecture to an enterprise that establishes robust data governance and enforces best practices, policies, and procedures across the entire data landscape on cloud or premises.
• 15+ years of experience in designing data assets for extremely performant Operational Data Stores and near real time Data Warehouses. Well versed with industry standard Kimball and Inmon practices
• Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise. At least 15 years hands on experience with Data Modeling tool such as Erwin. Data Modeling experience in financial industry is highly preferred.
• Drive reuse of data and data models at all levels and establish standards to enforce and preserve single version of truth across the data landscape.
• Solid communication skills and be able to facilitate / lead Data Modeling sessions with partners including Business, IT (engineers and developers), BI (Business Intelligence), System of Record (SOR) SMEs etc. to assess business requirements and deliver design prototypes and models.
• Experience in event streaming and event-based data warehousing methodologies.
• Experience in modern data design methodologies such as DDD (Domain Driven Design), Microservices Based Architecture, Bounded Contexts, and Data Mesh building data warehouses for agility, scalability, and autonomy.
• 10+ years of data analysis and profiling experience in financial services development, including account, card, payment, or digital processing.
• Expert SQL development, analysis, design, and performance skills in technologies such as MongoDB, Oracle EXADATA, Hadoop, Spark to support highly performant physical data models.
• Expert hands-on development, and performance tuning experience in Snowflake including writing pipelines, coding stored procedures, and establishing data share.
• Well versed in Power Point and be able to design complex dashboards in Power BI.
• Expert in Excel and Splunk with experience in writing complex macros to expedite data analysis.
• Experience in reverse/forward engineering analysis for complex data flows and be able to develop source-to-target and process mappings.
• Strong scripting experience in Python to create alerts and monitoring, build ingestion and interfaces to move data between systems and automate data governance.
• Experience in building and maintaining an evergreen Data Catalogue for an enterprise with robust metadata and end to end lineage. Experience with Alation, Collibra etc. is nice to have.
• Experience in tools such as Matillion, SnapLogic, or DBT is nice to have to be able to build data pipelines for on cloud / on premises databases such as Snowflake.
• Experience with industry reference frameworks such as BIAN (Banking Industry Architecture Network), IBM Banking & Financial Markets Model, ISO20022 is a plus.

Qualifications

• Excellent interpersonal, written, and verbal communication skills able to break down complex information and articulate in a manner that is easy to understand.
• Comfortable working in a fast paced, highly complex, matrixed environment and capable of handling multiple tasks concurrently.
• Be able to understand current data landscape, interpret results of analysis, identify trends and issues, and develop data standards to support business objectives.
• Ability to exercise independent judgment and creative problem-solving techniques for data solutions in a large and complex environment.
• Functional knowledge of the Financial Services industry with experience promoting a robust risk & control environment is preferred.
• Be able to coach, train, and mentor junior staff.