Leads and grows a distributed software engineering team building a scalable cloud data and analytics platform. Owns architecture, data modeling, technical delivery, roadmaps, product collaboration, agile planning, quality standards, security alignment, vendor relationships, and engineering KPIs. The role remains hands-on with coding, code reviews, documentation, data architecture, deployment, and development of SaaS data products using Azure or AWS, Microsoft Fabric or Snowflake, and Power BI.
This is a remote position.
About the company
An established software company serving professional services firms across North America. Its platform combines practice management, workflow automation, and integrated payments, helping firms run more efficiently and spend more time on higher-value work. The data and analytics function is a growing area of investment.
The role
We're looking for a hands-on engineering manager to lead a team building a cloud data platform that gives customers and partners new ways to turn their data into actionable business insight. This is a strong fit for someone who is deep in modern cloud data technologies (analytics, big data, warehouses, and lakes) and enjoys a fast-moving environment with new technology.
Responsibilities
- Lead and grow a software engineering team, including hiring, mentoring, and developing your people.
- Manage both onshore and offshore engineering staff.
- Provide technical leadership across architecture, design, build, documentation, and testing for the data and analytics platform and its products.
- Work closely with Product to keep a shared vision and drive continuous improvement across the platform and multiple products.
- Own the data and analytics roadmap, from strategy through to the technical delivery of scalable platform and product rollouts.
- Contribute to product roadmaps, sprint planning, and release planning, including leading grooming sessions and helping the team estimate effort.
- Stay hands-on: strong coding and data modeling, code reviews, quality documentation, and setting the technical standard for the team.
- Follow agile SDLC, data architecture, and engineering best practices and governance.
- Deliver fixes and service packs on a repeatable, efficient cycle.
- Partner with security leadership to meet corporate data security standards.
- Own the KPIs tied to software and data quality, with a focus on raising release frequency and engineering confidence.
- Manage third-party vendor relationships for tools, outsourcing, and consulting alongside the wider engineering management team.
Experience and skills
- BS/MS in Engineering or equivalent.
- Hands-on depth in data and analytics technologies plus cloud-native data architecture design and best practices.
- 10+ years in technical roles, with 7+ years managing people and leading increasingly complex projects to delivery.
- 7+ years designing and maintaining data architecture, data models, and standards for data integration and warehousing.
- 7+ years programming in web, object-oriented, or functional environments.
- Solid grounding in enterprise and cloud-native BI architecture.
- Comfortable with git and team branching strategies.
- Broad range across data architecture, ETL, security, performance, and analytics.
- Experience building highly scalable, data-driven SaaS applications in close partnership with product and engineering.
- Hands-on with Azure or AWS.
- Hands-on building data and analytics products with Microsoft Fabric or Snowflake, feeding reporting tools such as Power BI with real-time or near-real-time sync.
- Familiar with release and deployment processes.
Certifications (a plus)
- Azure Data Engineer Associate
- Azure AI Engineer Associate
- Azure Solutions Architect Expert
- Power BI Data Analyst Associate
- Snowflake / SnowPro certifications
Leadership qualities
- Excellent written and verbal communication, attention to detail, and strong organization.
- Proven remote team leadership across multiple time zones, able to work independently.
- Ownership mentality and entrepreneurial approach, comfortable with smart risk-taking.
- Good delegation and Agile/Scrum leadership experience.
- Able to build relationships with senior stakeholders and team members.
- Results-oriented self-starter who needs little supervision, and a confident, flexible communicator.
Benefits
Flexible PTO, medical/dental/vision, supplemental and paid sick coverage, health savings account, and a retirement savings match.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Leads Samsara’s globally distributed Core Infrastructure team, combining people leadership with technical strategy across compute, networking, storage, cloud systems, reliability, and efficiency. The manager will develop engineers, establish ownership, improve operational health, lead modernization and disaster-recovery initiatives, build automation and self-service infrastructure, and coordinate with engineering and security leaders. The role requires 8+ years of software engineering experience, including at least two years managing software or infrastructure engineers.
Top Skills:
Ai-Enabled Engineering ToolsCloud InfrastructureContainer OrchestrationDeclarative InfrastructureDistributed SystemsInfrastructure AutomationIotObservabilityPublic Cloud
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.
Top Skills:
Amazon BedrockAmazon Web Services (Aws)Ci/CdClaude CodeCursorDockerKubernetesLarge Language Models (Llms)MicroservicesNumpyPandasPythonPyTorchScikit-LearnVertex Ai
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads full-stack and data engineering teams delivering cloud-based healthcare analytics solutions and enterprise web applications. Establishes technical roadmaps, architectures, release plans, and AI-enabled development workflows. Oversees data engineering, testing, cloud deployment, CI/CD, governance, security, and compliance. Provides technical mentorship, supports hiring and skills development, and partners with stakeholders to deliver scalable, secure, ethically designed software products.
Top Skills:
AnsibleAWSAzureChefCi/CdHibernateJ2EeJavaJenkinsReact JsReduxRestful MicroservicesSpring BootSpring Data JpaSpring MvcSpring Security
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
