Engineering Manager - Data Streams

Advisor360•Needham, MA

8d•$175,000 - $205,000

About The Position

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.

Nice To Haves

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

Responsibilities

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.