Staff Data Engineer

Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely, the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services. 

Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool, Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity.

We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest.

We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI. 

Development at Later: 

We are builders and innovators on a mission to democratize the creator economy. 

At Later, you'll work alongside experts who are redefining what's possible in social commerce, tackling complex challenges from AI-powered content recommendations to systems that process billions of posts daily. While our standards are high and the work is demanding, we believe social media has unprecedented power to create economic opportunity for creators and businesses worldwide.

This isn't just about building software – it's about empowering millions of entrepreneurs, creators, and businesses to transform their digital presence into sustainable growth. We're creating an accessible platform where anyone can thrive in the creator economy, from solopreneurs to global brands.

You'll be challenged to think bigger and move faster than you ever have before. The problems we solve are complex, but for those who embrace the challenge, this will be the most meaningful work of your career. Our vision is ambitious: to empower 1 billion people to make a living through their creativity by putting powerful, intuitive tools in their hands.

If you believe in democratizing digital marketing, enabling authentic connections, and building technology that creates real economic opportunity, Later is where your expertise will make a difference. Let's shape the future of social commerce together.

About this position:

As a Staff Data Engineer at Later, you will be at the forefront of designing and scaling our data platform, integrating multiple data sources, and ensuring high availability, efficiency, and security. You will drive architectural decisions, optimize large-scale data processing, and develop real-time analytics infrastructure. Partnering with cross-functional teams, including data science, product, and engineering, you will play a strategic role in shaping the company's data roadmap, implementing best practices, and influencing long-term data strategies. Your leadership and deep technical expertise will be essential in building a data-driven culture and empowering stakeholders with scalable and reliable data solutions.

What you'll be doing:

• Lead the design and evolution of a scalable data architecture that meets analytical, machine learning, and operational needs.
• Architect and optimize data pipelines for batch and real-time data processing, ensuring efficiency and reliability.
• Implement best practices for distributed data processing, ensuring scalability, performance, and cost-effectiveness of data workflows.
• Define and enforce data governance policies, implement automated validation checks, and establish monitoring frameworks to maintain data integrity.
• Ensure data security and compliance with industry regulations by designing appropriate access controls, encryption mechanisms, and auditing processes.
• Drive innovation in data engineering practices by researching and implementing new technologies, tools, and methodologies.
• Work closely with data scientists, engineers, analysts, and business stakeholders to understand data requirements and deliver impactful solutions.
• Develop reusable frameworks, libraries, and automation tools to improve efficiency, reliability, and maintainability of data infrastructure.
• Guide an