Manager, Software Engineering - Data Infrastructure Job at Marqeta

Principal Software Engineering Manager - Data Science & Engineering

The MSRC Data Science team is responsible in building data pipelines, data minin...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same
Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared
Guides the architecture of scalable pipelines and datasets
Influences the direction of the team
Begins to anticipate potential data pipeline issues and provides solutions

Fulltime

Principal Software Engineering Manager - Data Analytics

Build and operate core infrastructure services that power Fabric Data Engineerin...

Location

Canada , Vancouver

Salary:

142400.00 - 257500.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
4+ years people management experience.
Software engineering foundation (data structures, algorithms, testing, debugging, performance) with the ability to guide and review technical decisions.
Demonstrated experience leading teams that build and ship production infrastructure (backend services, distributed systems, platform components) in cloud environments.
Understanding of distributed systems concepts, including fault tolerance, scaling, scheduling, and resource management, and ability to apply them to team-level architecture.
Proficiency in at least one backend/system language (e.g., Java, Scala, C#, C++, Python) and the ability to stay hands-on enough to unblock teams and assess designs.
Proven ability to ramp up quickly in new domains, tools, and codebases
growth mindset and learning agility.

Job Responsibility

Lead the design and delivery of world-class experiences for a new big data cloud offering, with emphasis on scale, reliability, and performance.
Manage and grow a team building core infrastructure services for data engineering and analytics workloads (compute, runtime services, job/session management, configuration, platform integrations).
Own technical strategy and execution end-to-end: translate product requirements into architecture, milestones, and high-quality production outcomes.
Drive operational excellence by establishing troubleshooting practices (logs, metrics, traces), guiding root-cause analysis, and converting operational learnings into engineering improvements.
Improve platform scalability, resiliency, and observability, including automation to reduce operational toil
ensure best practices are adopted consistently across the team.
Partner cross-functionally with product and engineering leaders to deliver end-to-end features, align priorities, and continuously raise the quality bar.
Coach and mentor engineers, provide technical guidance and performance feedback, and foster a culture of ownership, high standards, and continuous learning.

Fulltime

Manager, Software Engineering (Data Security)

Palo Alto Networks Data Security team is looking for a seasoned and accomplished...

Location

United States , Santa Clara

Salary:

165000.00 - 267500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

8+ years of experience in highly technical roles in development of enterprise services, at large organizations or innovative startups
Extensive hands-on experience and working knowledge of security concepts -SaaS and Data Security, deep understanding of web protocols, integration with third party APIs and services
Experience with the agile process and leading software development teams involved with building out full stack products, deployed on the cloud at scale
Experience with building and delivering services and workflows at scale, leveraging microservices architectures
3+ years of experience managing software engineering teams
5+ years experience with cloud-based architectures (AWS/GCP experience preferred)
Hands-on programming experience in one or more of the following - Java, Golang, Python
5+ years of experience in cloud technologies like ElasticSearch, Redis, Kafka, Mongo DB, Spring Boot
Experience with full-stack development (Rest APIs, Databases, Serverless computing) of distributed cloud applications
Experience with Docker and Kubernetes or other container orchestration platforms

Job Responsibility

Lead the technology strategy for building out world class data security solutions, influencing critical decisions on technology, architecture, integration, and go to market
Drive a results-oriented culture with a strong focus on execution, quality, and speed
Lead cross-functionally with Product Management, Software, and Quality Engineering teams to deliver new security as a service offerings to the market in a timely fashion with excellent quality
Contribute to the design, architecture, process, and development discussions
Manage engineering teams that builds, designs, implements, and maintains cloud security infrastructure and platforms, owning e2e responsibilities of the solution
Develop a strong culture of diversity, intellectual curiosity, problem-solving, and openness
Work closely with customer support teams to improve end-customer outcomes
Be a strong mentor and coach to the team
Foster innovation in the organization
Ability to handle multiple competing priorities in a fast-paced environment

Fulltime

Manager, Software Engineering, Data Exchange

This is a full time leadership position within the Intelligence Pod part of Cust...

Location

United States , San Francisco

Salary:

183000.00 - 205500.00 USD / Year

Spring Health

Expiration Date

Until further notice

Requirements

At least 1 year managing or leading engineers (e.g., Engineering Manager, Technical Lead, Lead Engineer)
At least 5 years of experience with Ruby, Rails, React, TypeScript and/or Flutter
At least 3 years of experience working with data systems and/or data warehouses (e.g., Databricks, Snowflake)
Able to demonstrate an intermediate familiarity with SQL and data modeling

Job Responsibility

Evolve and maintain Spring’s data exchange infrastructure
Occasionally meet with vendors and customers as a technical expert
Act as a critical partner for Analytics Engineering leadership, ensuring consistent adoption and application of architecture principals for data delivery
Manage a team of 3 software engineers

What we offer

Health, Dental, Vision benefits start on your first day
HSA and FSA plans available, with Spring contributing up to $1K for HSAs
Employer sponsored 401(k) match of up to 2%
Yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
Competitive paid time off policies including vacation, sick leave and company holidays
Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents after 6 months tenure
Access to Noom, a weight management program
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
Access to Wellhub for fitness, mindfulness, nutrition, and sleep
Access to BrightHorizons for child care, back-up care, and elder care

Fulltime

Manager, Data Engineering - Finance Data Foundations

Manager, Data Engineering - Finance Data Foundations The Manager, Data Engineer...

Location

Canada , Toronto

Salary:

110000.00 - 130000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

Minimum 5-8 years experience Data Engineering
with experience in Azure using Databricks
Bachelor’s degree Required
MBA or Master’s in Engineering preferred
Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse, Data Bricks, Cosmos DB, FunctionApps, Logic Apps etc)
Lakehouse experience using Databricks
Azure platform administration
Data Governance Software experience
Microsoft Power BI delivery and support
Strong SQL query skills

Job Responsibility

Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness
Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards
Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains
Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data
Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability
Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments, ensuring scalability, reliability, and operational efficiency
Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels
Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks (unit, integration, and data validation) with built-in monitoring and observability to meet defined SLAs and SLOs
Operationalize data quality by integrating Informatica IDQ into finance workflows for profiling, rule-based validation, and continuous data quality monitoring
Apply governance standards by embedding metadata, cataloging, and lineage practices in collaboration with the Data Strategy & Governance team

Fulltime

New

Principal Software Engineering Manager - Search

Windows Search is undergoing a fundamental transformation — evolving from a trad...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience.
4+ years of people management experience leading engineering teams.
Solid systems programming background with experience in platform/infrastructure-level software development
Experience with search/indexing systems, database internals, file systems, or information retrieval at scale.

Job Responsibility

Owning the technical direction and architecture for the Windows Search Platform from design through retail delivery.
Driving the evolution of Search Platform into an AI-native infrastructure layer, enabling Copilot, MCP/LLM integrations, and future agentic discovery patterns while maintaining enterprise-grade reliability and performance.
Leading cross-functional partnerships with Products, File Explorer, Windows Search Box and other external partners to drive architectural consensus, scope clarity, and release governance.
Establishing and enforcing release discipline and observability as first-class requirements.
Defining and driving data-backed engineering decisions across the platform.
Leading, mentoring, and growing a team of 7-10 engineers — running effective 1:1s, providing direct feedback, building clear growth paths, and cultivating a culture of engineering rigor, ownership, and speed.
Recruiting and retaining top systems engineering talent, with a bias toward people who are curious about and energized by AI-native development and Windows platform internals.
Representing your team's work to senior leadership, communicating trade-offs, risks, delivery timelines, and strategic context with clarity and confidence in forums such as Shiproom, Mission Controls, and leadership reviews.
Driving program execution across multiple concurrent tracks (8-10 workstreams), including sprint cadence, ADO hygiene, capacity planning, and cross-org alignment.
Championing AI-assisted engineering practices — leveraging agentic workflows, automation, and AI tooling to reduce KTLO burden, accelerate delivery, and multiply team velocity.

Fulltime

Manager, Software Engineering - Search & Recommendations

Figma is growing our team of passionate creatives and builders on a mission to m...

Location

United States , San Francisco, CA; New York, NY

Salary:

258000.00 - 376000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

4+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space
8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor
Prior experience building search, recommendation, or AI systems as an engineering manager or individual contributor
A proven track record of motivating, mentoring, and guiding experienced AI engineering leads

Job Responsibility

Support a team of engineers with skillsets ranging from infrastructure to model development, including hiring and career development
Partner with our product engineering, infrastructure, data science, and product management teams to deliver cutting-edge Figma AI features
Own the team’s technical strategy, roadmap, and goals
Roll up your sleeves as needed to get involved with the technical details and improve execution efficiency
Grow your career within an engaged and creative engineering community
Build an inclusive, diverse team and culture through hiring, community events, and programs in partnership with teams across Figma

What we offer

Equity to employees
Health, dental & vision
Retirement with company contribution
Parental leave & reproductive or family planning support
Mental health & wellness benefits
Generous PTO
Company recharge days
Learning & development stipend
Work from home stipend
Cell phone reimbursement

Fulltime

Software Engineering Manager, Growth

Our mission is to democratize finance for all. An estimated $124 trillion of ass...

Location

United States , Menlo Park

Salary:

180000.00 - 270000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5–8+ years of software engineering experience, including 2–3+ years managing engineers directly
Experience building and operating distributed systems using AWS or similar cloud infrastructure
Experience partnering with Product to scope initiatives and deliver against defined business objectives
Background in SEO platforms, web systems for organic acquisition, paid marketing optimization, growth experimentation, or related domains
Ability to balance hands-on technical leadership with people management and operational execution

Job Responsibility

Partner with Product Managers to define and prioritize a roadmap across customer acquisition channels, marketing systems, and incentive programs
Lead the design and delivery of scalable systems on AWS that support customer growth and campaign performance
Manage and develop engineers through clear goals, regular feedback, and career development planning
Collaborate with Data Science and Marketing teams to evaluate performance data and improve acquisition and funded account outcomes

What we offer

Challenging, high-impact work
Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

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Manager, Software Engineering - Data Infrastructure

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