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
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead the technical vision and execution for Toast IQ, an AI platform using LLMs and agentic workflows. Manage and mentor engineering teams, establish AI architecture and toolchain standards, maintain internal developer platforms, translate strategy into roadmaps, and deliver scalable backend, web, and mobile experiences. Partner with Product and Design to create customer-focused AI capabilities while balancing experimentation, quality, and platform stability.
Top Skills:
Agentic WorkflowsAPIsBuild SystemsCi/CdComponent LibrariesEvalsHarnessesInternal Developer PlatformsLlmsMicrofrontend PatternsMicroservicesMobile ArchitectureSkillsSystem PromptsToolsWeb Architecture
Big Data • Fintech • Mobile • Payments • Financial Services
Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.
Top Skills:
SparkAWSKotlinKubernetesMySQLPythonReact
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Leads the Safety Engineering Mobile Client team, setting technical direction and delivering secure, scalable mobile systems for account integrity, authentication, reporting, and compliance. Responsibilities include coaching and hiring engineers, driving complex cross-functional initiatives, improving engineering quality and operational excellence, partnering with Product, Legal, Trust & Safety, and backend teams, and balancing immediate delivery with long-term platform investments. The manager also promotes responsible use of AI-assisted development while maintaining rigorous security, performance, and code-quality standards.
Top Skills:
Ai ToolsAndroidiOS
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
