Data Analytics Advisor

• Serve as the lead architect for enterprise network and infrastructure data platforms, establishing the long-term vision, strategy, and roadmap for data architecture supporting automation, observability, analytics, and operational intelligence.
• Architect, design, and oversee scalable, secure, and highly available data solutions capable of supporting both real-time and historical network telemetry, event management, automation workflows, and enterprise reporting requirements.
• Lead the design and implementation of enterprise-wide data models, ensuring consistent and efficient storage, integration, and retrieval of network configuration, performance, fault, capacity, and event data across hybrid cloud and on-premises environments.
• Act as the technical authority for Snowflake, driving enterprise adoption, architecture standards, performance optimization, security controls, data governance, and best practices across the platform.
• Design and implement large-scale Snowflake data warehouse solutions, including data lakes, data marts, dimensional models, ELT frameworks, and advanced analytical data structures.
• Develop and optimize enterprise data pipelines leveraging Snowflake, SQL, Python, and cloud-native services to ingest, transform, validate, and distribute high-volume operational and telemetry data.
• Partner with senior network architects, infrastructure leaders, software engineers, and business stakeholders to translate business and technology objectives into scalable data solutions.
• Drive implementation of enterprise data governance capabilities including metadata management, lineage tracking, master data management, data quality monitoring, retention policies, and regulatory compliance requirements.
• Establish architecture standards, reusable frameworks, and engineering best practices for data ingestion, integration, transformation, analytics, and reporting.
• Lead evaluation and integration of emerging technologies such as streaming platforms, graph databases, AI/ML solutions, and advanced analytics tools to improve network automation, predictive insights, and operational efficiency.
• Provide technical leadership and mentorship to engineers, architects, and cross-functional teams while influencing enterprise technology decisions.
• Ensure all data platforms comply with security, privacy, risk, auditing, and regulatory requirements while maintaining enterprise-scale performance and availability.
• Present architectural recommendations, technical strategies, and solution roadmaps to senior leadership and executive stakeholders., * This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experience helps you with your overall onboarding experience and leads to stronger productivity.

How you’ll work:

• This role requires use of a computer and audio equipment.
• This role requires being on call during non-standard and/or overnight hours on a rotational basis.

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine or Washington.

It is unlawful to discriminate against a prospective employee due to the individual’s status as a veteran.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field. Master’s degree preferred.
• 5+ years of experience in Data Engineering, Data Architecture, Data Warehousing, or Enterprise Data Platform design.
• 5+ years of hands-on experience with Snowflake, including architecture, administration, performance tuning, security, governance, and enterprise-scale data modeling.
• Snowflake expertise is required and considered a critical qualification for this role.
• Deep expertise in enterprise data architecture, dimensional modeling, star/snowflake schemas, data warehousing concepts, and large-scale database design.
• Advanced SQL development and optimization skills.
• Strong Python development experience for data engineering, automation, orchestration, and advanced data processing.
• Experience designing and implementing large-scale ETL/ELT frameworks and modern cloud data platforms.
• Strong understanding of data governance, metadata management, lineage, data quality management, and regulatory compliance requirements.
• Experience supporting streaming data architectures and real-time analytics solutions.

Preferred Qualifications

• Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
• Experience with Kafka, Confluent, Spark, Flink, Databricks, or similar data processing technologies.
• Experience supporting network operations, observability, telecommunications, infrastructure engineering, or network automation environments.
• Experience implementing AI/ML, predictive analytics, or operational intelligence solutions.
• Experience with Power BI, Tableau, Looker, or enterprise analytics platforms.
• Knowledge of graph databases and advanced data relationship modeling.
• Experience working within highly regulated enterprise environments requiring strong governance, security, and audit controls.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.