Lead Software Engineer, Data & Martech - Leading Multimedia Company
Curb
Marketing & Communications, Software Engineering
Boston, MA, USA
USD 140k-160k / year
Posted on May 22, 2026
Lead Data Platform Engineer — Analytics & Marketing Technology
Turn complex data into a strategic advantage. This role is designed for experienced engineers who enjoy building the systems that power insights, personalization, and data-driven decision-making at scale. You’ll operate at the intersection of software engineering, data architecture, and product strategy—shaping how organizations collect, process, and activate their data.
This opportunity is with a client of Andiamo, supporting a modern digital media and content-driven organization. You’ll help design and evolve the data infrastructure that fuels customer experiences, analytics, and marketing effectiveness across multiple platforms.
Role Overview
As a Lead Data Platform Engineer, you will serve as a technical leader within a cross-functional Agile team, guiding the design and delivery of robust data systems. You’ll translate high-level product and analytics needs into scalable pipelines, well-structured data models, and reliable services that support both operational workflows and long-term strategic initiatives.
This role requires both hands-on engineering and architectural leadership—balancing technical depth with the ability to influence how systems are designed and evolve over time.
Key Responsibilities
Data Pipeline Engineering
Design, build, and maintain high-performance data pipelines that support both batch and real-time processing across distributed systems.
Data Modeling & Architecture
Develop scalable data models that enable analytics, reporting, and product features, ensuring consistency and usability across the organization.
Cross-Functional Collaboration
Partner with product managers, analysts, and engineering teams to refine requirements and deliver solutions that align with business objectives.
Engineering Standards & Best Practices
Establish and promote best practices for data engineering, including schema design, orchestration, testing, and documentation.
Data Quality & Reliability
Implement monitoring, validation, and alerting systems to ensure data accuracy, availability, and performance.
Performance & Observability
Drive improvements in system reliability through logging, metrics, and tracing, enabling proactive issue detection and resolution.
Agile Delivery
Break down complex initiatives into actionable work, contributing to sprint planning and delivering consistent, high-quality outcomes.
Risk Management
Identify potential technical challenges early and develop strategies to mitigate risks that could impact delivery or system integrity.
Technical Leadership
Mentor team members, review code, and help elevate engineering practices across the organization.
Platform Strategy
Contribute to the broader evolution of the data platform, influencing tooling, architecture, and long-term direction.
Experience
Required Qualifications
7+ years of software engineering experience with a strong focus on data engineering and distributed systems.
Cloud Expertise
Hands-on experience designing and deploying data solutions in cloud environments (e.g., AWS or similar platforms).
Programming Skills
Proficiency in languages such as Python, Java, or Scala for building scalable data solutions.
Data Technologies
Experience with modern data tools and frameworks such as Spark, Kafka, Airflow, dbt, or cloud-based data warehouses.
Data Modeling
Strong understanding of data warehousing concepts, including dimensional modeling and schema design.
Real-Time Systems
Experience working with streaming data and event-driven architectures.
Problem Solving
Ability to navigate complex technical challenges independently and deliver effective solutions.
Preferred Qualifications
Experience with data governance, lineage tracking, and cataloging tools.
Exposure to machine learning workflows or collaboration with data science teams.
Experience leading technical initiatives or influencing multiple engineering teams.
Degree in Computer Science, Engineering, or a related field.
What Makes You a Strong Fit
You think in systems and design for scalability and reliability.
You’re comfortable making decisions in ambiguous environments.
You enjoy mentoring others and raising the bar for engineering excellence.
You balance technical rigor with practical delivery.
You’re motivated by building platforms that enable smarter, faster decision-making.
Impact of the Role
Your work will directly influence how data is trusted, accessed, and leveraged across the organization. By building resilient, scalable data systems, you will enable more informed decisions, stronger customer experiences, and faster product innovation.
This is a role where strong technical leadership and thoughtful architecture can significantly accelerate business outcomes.
Location & Compensation
This role is based in a major U.S. metropolitan area with the option for remote work for qualified candidates.
Compensation is competitive and aligned with experience, with a general salary range of $140,000 – $160,000, plus additional benefits and incentives.
If you’re looking to lead the evolution of modern data systems in a dynamic, content-driven environment, this is an opportunity to make a meaningful and lasting impact.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
Turn complex data into a strategic advantage. This role is designed for experienced engineers who enjoy building the systems that power insights, personalization, and data-driven decision-making at scale. You’ll operate at the intersection of software engineering, data architecture, and product strategy—shaping how organizations collect, process, and activate their data.
This opportunity is with a client of Andiamo, supporting a modern digital media and content-driven organization. You’ll help design and evolve the data infrastructure that fuels customer experiences, analytics, and marketing effectiveness across multiple platforms.
Role Overview
As a Lead Data Platform Engineer, you will serve as a technical leader within a cross-functional Agile team, guiding the design and delivery of robust data systems. You’ll translate high-level product and analytics needs into scalable pipelines, well-structured data models, and reliable services that support both operational workflows and long-term strategic initiatives.
This role requires both hands-on engineering and architectural leadership—balancing technical depth with the ability to influence how systems are designed and evolve over time.
Key Responsibilities
Data Pipeline Engineering
Design, build, and maintain high-performance data pipelines that support both batch and real-time processing across distributed systems.
Data Modeling & Architecture
Develop scalable data models that enable analytics, reporting, and product features, ensuring consistency and usability across the organization.
Cross-Functional Collaboration
Partner with product managers, analysts, and engineering teams to refine requirements and deliver solutions that align with business objectives.
Engineering Standards & Best Practices
Establish and promote best practices for data engineering, including schema design, orchestration, testing, and documentation.
Data Quality & Reliability
Implement monitoring, validation, and alerting systems to ensure data accuracy, availability, and performance.
Performance & Observability
Drive improvements in system reliability through logging, metrics, and tracing, enabling proactive issue detection and resolution.
Agile Delivery
Break down complex initiatives into actionable work, contributing to sprint planning and delivering consistent, high-quality outcomes.
Risk Management
Identify potential technical challenges early and develop strategies to mitigate risks that could impact delivery or system integrity.
Technical Leadership
Mentor team members, review code, and help elevate engineering practices across the organization.
Platform Strategy
Contribute to the broader evolution of the data platform, influencing tooling, architecture, and long-term direction.
Experience
Required Qualifications
7+ years of software engineering experience with a strong focus on data engineering and distributed systems.
Cloud Expertise
Hands-on experience designing and deploying data solutions in cloud environments (e.g., AWS or similar platforms).
Programming Skills
Proficiency in languages such as Python, Java, or Scala for building scalable data solutions.
Data Technologies
Experience with modern data tools and frameworks such as Spark, Kafka, Airflow, dbt, or cloud-based data warehouses.
Data Modeling
Strong understanding of data warehousing concepts, including dimensional modeling and schema design.
Real-Time Systems
Experience working with streaming data and event-driven architectures.
Problem Solving
Ability to navigate complex technical challenges independently and deliver effective solutions.
Preferred Qualifications
Experience with data governance, lineage tracking, and cataloging tools.
Exposure to machine learning workflows or collaboration with data science teams.
Experience leading technical initiatives or influencing multiple engineering teams.
Degree in Computer Science, Engineering, or a related field.
What Makes You a Strong Fit
You think in systems and design for scalability and reliability.
You’re comfortable making decisions in ambiguous environments.
You enjoy mentoring others and raising the bar for engineering excellence.
You balance technical rigor with practical delivery.
You’re motivated by building platforms that enable smarter, faster decision-making.
Impact of the Role
Your work will directly influence how data is trusted, accessed, and leveraged across the organization. By building resilient, scalable data systems, you will enable more informed decisions, stronger customer experiences, and faster product innovation.
This is a role where strong technical leadership and thoughtful architecture can significantly accelerate business outcomes.
Location & Compensation
This role is based in a major U.S. metropolitan area with the option for remote work for qualified candidates.
Compensation is competitive and aligned with experience, with a general salary range of $140,000 – $160,000, plus additional benefits and incentives.
If you’re looking to lead the evolution of modern data systems in a dynamic, content-driven environment, this is an opportunity to make a meaningful and lasting impact.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
