Data Architect

What Does a great Data Architect do at Fiserv 

We are seeking a seasoned Data Architect with extensive experience in data modeling and architecting data solutions, particularly with Snowflake. Hands-on experience in designing, implementing, and optimizing data architectures to meet the evolving needs of our organization. As a Data Architect, you will play a pivotal role in ensuring the robustness, scalability, and efficiency of our data systems.

What you will do:
 Data Architecture Design: Develop, optimize, and oversee conceptual and logical data systems, ensuring they meet both current and future business requirements.
 Data Modeling: Create and maintain data models using Snowflake, ensuring data integrity, performance, and security.
 Solution Architecture: Design and implement end-to-end data solutions, including data ingestion, transformation, storage, and access.
 Stakeholder Collaboration: Work closely with business stakeholders, data scientists, and engineers to understand data requirements and translate them into technical specifications.
 Performance Optimization: Monitor and improve data system performance, addressing any issues related to scalability, efficiency, and data quality.
 Governance and Compliance: Ensure data architectures comply with data governance policies, standards, and industry regulations.
 Technology Evaluation: Stay current with emerging data technologies and assess their potential impact and value to the organization.
 Mentorship and Leadership: Provide technical guidance and mentorship to junior data architects and engineers, fostering a culture of continuous learning and improvement.

What you will need to have:

Experience in data architecture and data modeling, with a significant focus on Snowflake.

Technical Expertise:
 Proficiency in Snowflake data warehousing platform.
 Strong understanding of data modeling concepts, including normalization, denormalization, star schema, and snowflake schema.
 Development experience in Informatica Data Management Cloud (IDMC) and Cognos Business Intelligence tool (Professional level).
 Experience with ETL/ELT processes and tools.
 Familiarity with data governance and data security best practices.
 Knowledge of SQL and performance tuning for large-scale data systems.
 Experience with cloud platforms (AWS, Azure, or GCP) and related data services.

Soft Skills:
 Excellent problem-solving and analytical skills.
 Strong communication and interpersonal skills, with the ability to translate technical concepts for non-technical stakeholders.
 Demonstrated ability to lead and mentor technical teams.

What would be nice to have:
 Education: Bachelors or masters degree in computer science, Information Technology, or a related field.
 Good to have Cognos Business Intelligence tool
 Certifications: Snowflake certifications or other relevant industry certifications.,