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We are seeking an experienced Senior Software Engineer to join our Identity Resolution engineering team.
This role will focus on designing, developing, testing, and supporting high-scale Identity Resolution and Entity Resolution systems that match, link, and resolve identities across large and diverse datasets. The engineer will work on both large-scale distributed data-processing workloads and high-performance application services, including low-latency APIs used for real-time identity resolution.
The ideal candidate will have strong software engineering experience across Java, Python, Scala, Apache Spark, and SQL, along with hands-on experience with AWS and Databricks.
This position will work closely with architects, engineers, data teams, and product stakeholders to implement scalable, reliable, secure, and high-performance solutions. Key Responsibilities
Design, develop, test, and maintain software supporting large-scale Identity Resolution and Entity Resolution platforms.
Develop systems that match, link, consolidate, and resolve identities across multiple datasets and data sources.
Implement both real-time and batch identity-resolution workflows.
Develop high-performance backend services and APIs using Java, Python, and Scala.
Build and optimize low-latency APIs supporting real-time identity lookup and resolution.
Develop large-scale distributed data-processing applications using Apache Spark.
Build and maintain Spark workloads using Scala and Python.
Develop complex SQL queries and data-processing logic to support identity matching, analysis, and data transformation.
Work with Databricks to develop, optimize, and operate large-scale data-processing workloads.
Develop cloud-native applications and data-processing solutions using AWS.
Work closely with architects to translate solution designs and technical requirements into production-quality software.
Contribute to technical design discussions and recommend implementation approaches based on performance, scalability, reliability, and maintainability.
Implement deterministic and probabilistic matching logic, fuzzy matching, data normalization, identity linking, and related Identity Resolution capabilities.
Optimize application code, Spark workloads, SQL queries, and data pipelines for performance and scalability.
Troubleshoot complex application, distributed-processing, data-quality, and production performance issues.
Develop automated tests and validation processes to ensure the accuracy and reliability of identity-matching logic.
Build monitoring, logging, metrics, and observability into production applications and data-processing workloads.
Participate in code reviews and help establish strong software engineering practices across the team.
Mentor junior and mid-level engineers and provide technical guidance on complex development tasks.
Collaborate with architects, engineering teams, data engineers, product teams, security teams, and other stakeholders.
Stay current with evolving technologies and engineering practices related to Identity Resolution, distributed systems, cloud computing, and large-scale data processing.
Identity Resolution Experience
The Senior Software Engineer should have experience with, or strong familiarity with, Identity Resolution, Entity Resolution, Customer 360, Master Data Management, identity graph, record linkage, or similar matching systems.
Relevant concepts include:
Deterministic matching
Probabilistic matching
Exact and fuzzy matching
Entity and record linkage
Identity stitching and consolidation
Match confidence and scoring
Attribute normalization and standardization
Duplicate detection and resolution
Source prioritization
Identity graphs
Real-time identity lookup
Batch identity processing
Incremental identity processing
Data quality and match accuracy
Large-scale identity datasets
Required Qualifications
5+ years of professional software development experience, including experience developing and supporting production software systems.
Strong proficiency in Java and enterprise application development.
Strong proficiency in Python for application development, data processing, automation, or distributed workloads.
Strong proficiency in Scala, particularly for large-scale data-processing applications.
Strong hands-on experience with Apache Spark and distributed data processing.
Advanced proficiency in SQL, including complex queries, data transformations, and query optimization.
Experience developing production workloads using Databricks.
Experience developing cloud-based applications and services using AWS.
Experience with Identity Resolution, Entity Resolution, record linkage, data matching, or similar large-scale data-processing systems.
Experience developing REST APIs, backend services, microservices, or distributed applications.
Experience building and optimizing high-throughput, low-latency services and APIs.
Strong understanding of distributed systems concepts, including concurrency, partitioning, caching, resiliency, scalability, and fault tolerance.
Experience optimizing Spark workloads, including partitioning, joins, caching, memory utilization, and execution performance.
Strong understanding of software engineering principles, object-oriented design, data structures, algorithms, and design patterns.
Experience with automated testing, CI/CD, source control, and modern software delivery practices.
Experience with Git and collaborative software development workflows.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent written and verbal communication skills.
Ability to independently own complex development tasks while collaborating effectively with architects and other engineering team members.
Experience implementing deterministic and probabilistic identity-matching algorithms.
Experience with fuzzy matching, similarity algorithms, record linkage, or entity-resolution techniques.
Experience developing Spark applications using both Scala and PySpark.
Experience with Databricks performance optimization, cluster configuration, and production workload management.
Experience with event-driven or streaming architectures.
Experience with graph databases or graph-oriented data models.
Experience with Docker, Kubernetes, or containerized application environments.
Experience with infrastructure-as-code technologies such as Terraform or CloudFormation.
Experience building monitoring and observability using tools such as CloudWatch, Grafana, or similar technologies.
Experience working with large-scale consumer, marketing, advertising, financial, or customer identity datasets.
Core Technical Skills
Languages & Data Processing
Java
Python
Scala
Apache Spark
SQL
Platforms
AWS
Databricks
Engineering Areas
Identity Resolution / Entity Resolution
Distributed Systems
Low-Latency APIs
Large-Scale Data Processing
Real-Time and Batch Processing
Cloud-Native Application Development
Education
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent professional experience.
Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
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Attention Colorado, California, Connecticut, Massachusetts, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, Virginia, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact .
