Engineering Manager - Data Streams

At Advisor
360°, we build technology that transforms how wealth management firms operate, scale, and serve their clients. As a leading SaaS platform in the fintech space, we’re trusted by some of the largest independent broker-dealers and RIAs to power the full advisor and client experience—from portfolio construction and reporting to compliance and client engagement.

What sets us apart? It s not just the tech (though it s best-in-class). It s the people, the purpose, and the passion behind everything we do.

We’re a team of builders, thinkers, and doers who believe that great companies are defined by the stories they tell and the experiences they create—internally and externally. We bring deep industry expertise, a collaborative spirit, and a commitment to innovation as we reshape what’s possible in wealth management.

As we grow, we’re looking for teammates who are ready to roll up their sleeves, think big, and help elevate our brand in a way that reflects the bold ambitions we have for our company and the clients we serve.

Join us, and be part of a company that s not only moving fast—but making it count.

This role is hybrid, requiring three days per week onsite in our Needham, MA headquarters.

As a software engineering manager for the Data Streams team, you will lead and grow a team of up to 12 engineers to build low latency data pipelines. You will work closely with all functions at Advisor
360, from engineering, product, go-to-market, operations, finance, and more to ensure the team releases highly reliable and performant services across thousands of users.

• Leading up to 12 engineers, enabling them to be high impact and catalyzing their growth
• Leveraging a deep understanding of both product and engineering to ensure the teams are building data pipelines that meet the security, reliability, and performance demands.
• Building data pipelines end to end, including tooling, monitoring and alerting, and orchestrating unified view of data sources
• Partner closely with financial data engineers, leadership, and go-to-market to build winning products that unlock new capabilities for our users
• Work closely a wide breadth of non-technical stakeholders to ensure the team is meeting business goals, aligning on scope and setting clear expectations on delivery timelines
• Ensuring continuity of work and focus in an ecosystem that evolves quickly and demands adaptability
• Work closely with engineers on team process, project management, and team health to ensure high productivity and morale
• Hire great engineers that level up the team.

• Deep knowledge of SDLC methodologies (Agile, Dev Ops) and experience leading technical implementations from architecture to production deployment.
• Delivered and supported mission-critical online services that are highly available and reliable
• Servant leadership mindset and an ability to inspire and motivate others
• Ability to work on a globally-distributed team with a high degree of ownership
• Experience leading the delivery of multiple highly impactful products end to end, on time with a high quality bar
• Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery
• Experience navigating ambiguous and changing product requirements and successfully delivering a winning product
• Proficiency in coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience integrating AI-based automation for improving code quality, predictive analytics, and data-driven decision-making.
• Familiarity with financial data sets and experience in working with or producing high-quality finance/fintech data from multiple sources
• Knowledge of complex financial products
• Technical expertise in designing and scaling data infrastructure and distributed systems architecture
• Strong operational skills and the ability to balance speed and quality pragmatically
• Experience working with a team located across multiple time zones

• Leadership
• Operations
• Software Engineering

Tech stack = Python, .Net, Snowflake, PySpark, Azure Databricks, Snowflake, REST microservices, and real-time event-driven architectures…