Advisor360 Logo

Advisor360

Engineering Manager, Data Streams

Reposted Yesterday
Be an Early Applicant
In-Office
Needham, MA
175K-205K Annually
Senior level
In-Office
Needham, MA
175K-205K Annually
Senior level
Lead and grow a team of engineers to build low latency data pipelines, ensuring reliable services across users while collaborating with technical and non-technical stakeholders.
The summary above was generated by AI

At Advisor360°, 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 Advisor360, from engineering, product, go-to-market, operations, finance, and more to ensure the team releases highly reliable and performant services across thousands of users. 


Your Impact

  • 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.


Requirements

  • Deep knowledge of SDLC methodologies (Agile, DevOps) 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. 


Desired

  • 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


Skills
  • Leadership
  • Operations
  • Software Engineering
  • Team Collaboration


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


Why You’ll Love Working With Us: 

It’s not just about work—it’s about building a career and enjoying the ride!


The estimated base salary range for this position is $175,000-$205,000 + bonus & equity.

Advisor360 provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on factors including, but not limited to, individual candidate experience, skills, and qualifications. Additionally, Advisor360 leverages current market data to determine compensation, therefore posted compensation figures are subject to change as new market data becomes available. The salary, other forms of compensation, and benefits information is accurate as of the date of this posting. Advisor360 reserves the right to modify this information at any time, subject to applicable law.


We believe in recognizing and rewarding performance. Our compensation package includes competitive base salaries, annual performance-based bonuses, and the chance to share in the equity value you and your colleagues create during your time with the company. We offer comprehensive health benefits, including dental, life, and disability insurance. We also trust our employees to manage their time effectively, which is why we offer an unlimited paid time off program to help you perform at your best every day.  


Join us on this journey. Advisor360° is an equal opportunity employer committed to a diverse workforce. We believe diversity drives innovation and are therefore building a company where people of all backgrounds are truly welcome and included. Everyone is encouraged to bring their unique, authentic selves to work each and every day. The way we see it, we are here to learn from each other.


While we are interested in qualified applicants who are permanently eligible to work for any employer in the United States, we are unable to sponsor or transfer sponsorship for employment visas at this time.


To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.
Advisor360 will only communicate with a job applicant directly from an @advisor360.com email address and will never conduct an interview in a chatroom forum. During an interview, Advisor360 will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card.
Should you have any questions regarding the application process, please contact Advisor360 at [email protected]

Top Skills

.Net
Azure Databricks
Kafka
Orkes
Pyspark
Python
Rest Microservices
Snowflake

Similar Jobs at Advisor360

11 Hours Ago
In-Office
249K-300K Annually
Expert/Leader
249K-300K Annually
Expert/Leader
Artificial Intelligence • Fintech • Software • Financial Services • Generative AI • Big Data Analytics • Automation
The VP of Corporate Development will lead strategic growth initiatives through M&A, partnerships, and investments, collaborating with executives to shape the company’s expansion and integrate new technologies.
Top Skills: FintechSaaSWealth Management
11 Hours Ago
In-Office or Remote
179K-207K Annually
Expert/Leader
179K-207K Annually
Expert/Leader
Artificial Intelligence • Fintech • Software • Financial Services • Generative AI • Big Data Analytics • Automation
Lead enterprise onboarding for clients in financial services, translating needs into solutions, overseeing integrations, and mentoring teams to ensure successful adoption.
Top Skills: APIsCRMData ManagementFinancial Services Data AggregatorsSecurity FrameworksSso
Yesterday
In-Office
106K-123K Annually
Senior level
106K-123K Annually
Senior level
Artificial Intelligence • Fintech • Software • Financial Services • Generative AI • Big Data Analytics • Automation
Build and maintain automation and AI-driven quality engineering solutions in a hybrid-cloud environment. Design and develop automated tests, collaborate with cross-functional teams to shift quality left, use AI tools to generate high-coverage test plans, assist with manual testing as needed, and participate in release activities while improving automation frameworks and CI/CD pipelines.
Top Skills: AugmentBitbucketClaudeCopilotGitGithub ActionsHybrid-CloudJavaScriptJenkinsPlaywrightPostmanPythonRest ApisSeleniumSnowflakeSQLSwagger

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account