VXI Global Solutions

Engineering Manager, Data Platform

VXI Global Solutions$199K — $275K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in high-scale software development focused on data storage and infrastructure.
  • 3+ years managing engineering teams and developing engineers.
  • Proven ability to scale data platforms and operations amid rapid data growth.
  • Deep knowledge of data infrastructure like data lakes, warehouses, and streaming systems.
  • Expertise in secure, efficient system architecture and data modeling.
  • Experience with modern technologies such as Spark, Kafka, and Kubernetes.
  • Proficient in Python (or Java/Scala) and familiar with SQL for performance tuning.
  • Extensive experience with cloud data platforms (AWS, GCP, Azure).
  • Understanding of data governance and security best practices.
  • Interest in AI systems and building AI-ready data foundations.
  • Strong relationship-building skills across technical and business stakeholders.

Responsibilities

  • Own the roadmap for Chime's Data Storage Platform and online data stores.
  • Design scalable high-performance storage architecture for various workloads.
  • Define secure data access patterns and strategies for key datasets.
  • Collaborate to establish data contracts and SLAs for storage.
  • Build compliance and governance tooling in partnership with Security and Risk teams.
  • Manage and develop a high-performing engineering team with clear expectations.
  • Implement strong operational practices for incident management and SLOs.
  • Stay informed on industry trends and evolve the technology stack.

Benefits

  • In-office work policy with flexibility, enabling team engagement.
  • Backup care options and subsidized commuting benefits.
  • Competitive salary commensurate with experience.
  • 401k match and comprehensive medical, dental, and vision benefits.
  • Generous vacation policy plus additional paid days off.
  • 1% of time dedicated to supporting community organizations.
  • Annual wellness stipend for eligible expenditures.
  • Substantial paid parental leave for birthing and non-birthing parents.
  • Access to family planning tools and significant reimbursement options.
  • Diverse in-person and virtual team-building events.
Full Job Description
About the Role

As an Engineering Manager on Chime's Data Platform, leading the Data Storage team, you will own the group that manages Chime's online and analytical data stores and low-latency metric serving layer. Your team will be responsible for building and operating reliable, scalable, and secure storage foundations that power analytics, experimentation, and AI-driven product experiences across Chime.

You'll partner closely with other Data Platform squads as well as Product Engineering, Security, and Analytics teams to define storage strategies, data contracts, and SLAs that support both high-scale batch workloads and latency-sensitive online use cases. Your leadership will directly impact how Chime stores, governs, and serves data - enabling trusted, self-serve, AI-ready data for Chimers across the company.

This role is not just about running infrastructure - it's about setting a vision for the future of data storage at Chime, fostering a culture of technical excellence, and growing a high-performing team that can evolve our architecture as the business and our data scale.

The base salary offered for this role and level of experience will begin at $199,000 and up to $275,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
  • Own the strategy and roadmap for Chime's Data Storage Platform, including Snowflake, data lake and online data stores for low-latency access.
  • Design and evolve scalable, high-performance storage architecture that balance reliability, cost, and ease of use for both analytical and in-product workloads.
  • Ensure performant and secure data access by defining and enforcing access patterns, partitioning and clustering strategies, indexing, and caching and serving layers for key datasets and metrics.
  • Collaborate across Data Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, storage, and consumers.
  • Build tooling and automation for governance and compliance across sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability) in partnership with Security, Risk, and Compliance.
  • Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence.
  • Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the storage and serving layers your team owns.
  • Stay ahead of industry trends in data storage, lakehouse architectures, and AI/ML-ready data systems, and thoughtfully introduce technologies that improve our platform's capabilities.
To thrive in this role, you have
  • Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data storage systems.
  • Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers.
  • Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality.
  • Bring deep experience with data infrastructure components, such as data lakes and lakehouses (e.g., Iceberg), data warehouses (e.g., Snowflake), online and offline data stores, and both batch and real-time streaming systems.
  • Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data modeling, and partitioning strategies.
  • Are comfortable working with modern data and infrastructure technologies, such as Spark, Flink, Kafka, Airflow, Kubernetes, and similar tools.
  • Are proficient in Python or similar languages (e.g., Java, Scala) and familiar with SQL and performance tuning for analytical workloads.
  • Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents.
  • Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) and have helped design systems that meet regulatory and internal standards.
  • Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, feature and metric serving).
  • Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, and can translate between technical and business contexts.
  • Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence.

#LI-Hybrid #LI-GC1

What we offer for our full-time, regular employees
  • Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.
  • In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
  • Competitive salary based on experience
  • 401k match plus great medical, dental, vision, life, and disability benefits
  • Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
  • 1% of your time off to support local community organizations of your choice
  • Annual wellness stipend to use towards eligible wellness related expenses
  • Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  • Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
  • In-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
  • ♥ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

About VXI Global Solutions

VXI Global Solutions is a business process outsourcing company that provides customer care, technical support, and back-office services to its clients. The company was founded in 1998 and has since grown to have over 30,000 employees across 42 locations worldwide. VXI Global Solutions prides itself on its ability to provide high-quality customer service and support to its clients, which range from small startups to Fortune 500 companies. The company's services are designed to help its clients improve customer satisfaction, reduce costs, and increase revenue.
Learn more about VXI Global Solutions
Size
30,000 employees
Industry
Founded
1998

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