Data manager • richmond ca
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The average salary range is between $ 108,225 and $ 209,000 year , with the average salary hovering around $ 140,224 year .
The average salary range is between $ 86,100 and $ 171,441 year , with the average salary hovering around $ 125,013 year .
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.
About the Team/Role
As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources.
We are looking for a hands-onSenior Manager, Software Engineering - Data Acquisition to lead and manage a team responsible for acquiring, ingesting, and processing high-volume, diverse data. This role requires a strong leader with deep technical expertise in data pipelines, distributed systems, and cloud architecture, who can drive technical excellence, foster a culture of innovation, and align the data acquisition strategy with overall business goals.
How you’ll make an impact
Leadership & Management: Lead, mentor, and manage software engineers focused on data acquisition. Foster a high-performing, collaborative, and inclusive team culture. Conduct performance reviews, manage career development, and hire top engineering talent.
Strategy & Vision: Execute the technical roadmap and strategy for all data acquisition pipelines and systems. Ensure the infrastructure is scalable, reliable, secure, and cost-effective to handle ever-increasing data volumes and velocity.
Technical Oversight: Provide technical guidance and oversight on the design, development, deployment, and maintenance of critical data ingestion frameworks, APIs, and services. Ensure adherence to best practices in software engineering, data governance, and data quality.
Cross-functional Collaboration: Work closely with product management, data science, data governance, and other engineering teams to understand data needs and deliver solutions that meet business requirements.
Process Improvement: Drive continuous improvement in engineering processes, tools, and methodologies (e.g., CI/CD, automation, monitoring, alerting).
Operational Excellence: Ensure high availability and performance of all data acquisition systems, leading incident response and root cause analysis for any major outages.
Budget & Resource Management: Manage budget, resources, and capacity planning for the data acquisition organization.
Experience you’ll bring
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Experience: 10+ years of experience in software engineering, with at least 5+ years in a management role overseeing software engineering or data acquisition teams.
Experience in leading virtual teams is highly desirable
Technical Expertise:
Deep expertise in building and managing high-volume, real-time and batch data pipelines (e.g., Kafka, Kinesis, Pulsar).
Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and experience designing scalable, serverless, or containerized data ingestion architectures (e.g., Kubernetes, EKS/AKS/GKE).
Strong knowledge of various data sources, integration patterns (APIs, web scraping, messaging queues), and ETL/ELT tools.
Expertise in programming languages such as Java, Python, Scala, or Go.
Solid understanding of database technologies (SQL, NoSQL, Data Warehouses like Snowflake, Redshift, etc.).
Leadership Skills: Proven ability to lead, motivate, and manage multiple distributed teams. Excellent communication, presentation, and interpersonal skills.
Problem Solving: Strong analytical and problem-solving skills, with the ability to define solutions for complex technical challenges.
