Data Architect

Fiserv

. Define end-to-end architecture for data products, including ingestion, transformation, storage, governance, and delivery on cloud data platforms .

Posted 10/16/2026full-timeAlpharetta • New Jersey • United StatesSeniorLead💰 $145,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in defining end-to-end architecture for data products, including ingestion, transformation, and governance on cloud platforms. Proficient in designing scalable data pipelines and ensuring data quality and security while mentoring teams in best practices.

Highest-signal resume keywords

Data EngineeringData ArchitectureDatabricksApache SparkAzure Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLPythonScalaCI/CD PipelinesDevOps PracticesAgile MethodologiesData GovernanceData SecurityFeature Engineering

Soft Skills

MentoringTechnical GuidanceCollaboration

Tools & Technologies

DatabricksApache SparkDelta LakeAzureAWSGCP

Industry Keywords

Data ProductsCloud Data PlatformsBatch PipelinesStreaming PipelinesMetadata Management

Tech Stack

Tools & technologies

ApacheAWSAzureCloudGoogle Cloud PlatformPythonScalaSparkSQL

About the role

Key responsibilities & impact

Define end-to-end architecture for data products, including ingestion, transformation, storage, governance, and delivery on cloud data platforms
Partner with product owners and business stakeholders to translate requirements into data models, technical designs, and delivery roadmaps
Design and oversee scalable batch and streaming pipelines using Databricks, Spark, and Azure data services
Design AI-ready data products and platform capabilities supporting machine learning and generative AI use cases, including feature engineering, vector search, and RAG pipelines
Establish standards for data quality, security, access control, lineage, and metadata management
Lead platform modernization and migration initiatives
Conduct architecture and design reviews and drive engineering best practices, automation, and release quality controls
Mentor data engineers and provide technical guidance to cross-functional and vendor teams

Requirements

What you’ll need

8+ years of experience in data engineering, data architecture, or software development
5+ years of experience designing and building data platforms or data products at enterprise scale
4+ years of experience with Databricks, Apache Spark, and Delta Lake or similar lakehouse technologies
4+ years of experience with Azure, AWS, or GCP data services
4+ years of experience with SQL, Python or Scala, and data modeling (dimensional, relational, and lakehouse)
3+ years of experience with data governance, security, and access control practices
3+ years of experience with CI/CD pipelines, DevOps practices, and Agile methodologies
Bachelor’s degree in data science, Computer Science, Engineering, Mathematics or an equivalent combination of education, work, and/or military experience
Must currently possess valid and unrestricted U.S. work authorization
Candidates requiring sponsorship now or in the future will not be considered

Benefits

Comp & perks

Annual incentive opportunity, potentially delivered as a mix of cash bonus and equity awards
Approximately 10% travel off-site or to other office locations