Data Architect

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 now on a mission to build the world's first Social Revenue Platform.

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. 

About this position: The Data Architect will be responsible for designing and managing the data architecture for the organization, ensuring that data is organized, accessible, and secure. This role involves defining data standards, building a data infrastructure that supports business goals, and working with various stakeholders to translate data needs into effective solutions. The ideal candidate will have a strong technical background and a deep understanding of both traditional and modern data architectures.

What you'll be doing: Data Architecture Design: Develop and implement a comprehensive data architecture strategy, including data modeling, data integration, and data storage solutions to support current and future needs. Data Integration: Lead efforts to integrate data from various sources, ensuring seamless data flow and consistency across different systems and platforms. Infrastructure Development: Design and maintain scalable data solutions, including data lakes, data warehouses, and real-time data pipelines that enable efficient data processing and accessibility. Data Visualization: Collaborate with BI and analytics teams to design and implement data visualization solutions that provide actionable insights. Data Governance: Establish and enforce data governance policies to ensure data quality, consistency, security, and compliance with regulatory requirements. Collaboration: Work closely with data engineering, analytics, and business teams to understand data needs and ensure alignment of data architecture with business objectives. Technology Evaluation: Evaluate and recommend new data technologies, frameworks, and tools to improve data capabilities and operational efficiency. Documentation & Standards: Define and document data standards, architectural designs, and best practices to create a cohesive data ecosystem. Data Quality Management: Implement processes and tools to continuously monitor and improve data quality, addressing issues such as data accuracy, completeness, and timeliness. Data Security & Privacy: Implement security protocols and privacy best practices to protect sensitive data and ensure compliance with privacy regulations (e.g., GDPR, CCPA). Data Lifecycle Management: Oversee the lifecycle of data from creation to archiving, ensuring efficient data retention, retrieval, and deletion practices. Master Data Management (MDM): Implement MDM strategies to ensure a single, consistent, and accurate view of critical business data across the organization. Metadata Management: Establish and maintain a metadata repository to enable better data discovery, governance, and usage. We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!

7+ years in data architecture, data engineering, or a related field, with proven experience designing data solutions for large-scale applications. Bachelor's degree in Computer Science, Information Systems, or a related field (Master's preferred). Proficiency in data modeling, ETL processes, and database technologies (SQL/NoSQL), as well as data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Hands-on experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and associated tools (e.g., Glue, Dataflow). Knowledge of big data processing frameworks (e.g., Hadoop, Spark) and experience with real-time data processing and streaming (e.g., Kafka). Experience in designing and managing data warehouses, data lakes, and real-time data pipelines. Familiarity with machine learning pipelines and supporting data infrastructure. Knowledge of agile methodologies and data management best practices. Deep understanding of data governance principles, including data quality management, metadata management, and master data management (MDM). Strong analytical skills with a focus on translating complex requirements into scalable solutions. Strong documentation skills to maintain detailed technical documentation for data architecture, including design specifications and best practices. Ability to work effectively with both technical and non-technical stakeholders and articulate data architecture concepts clearly, including the ability to influence and drive data architecture best practices across the organization. Experience in implementing data security measures and ensuring compliance with regulatory requirements (e.g., GDPR, CCPA). Ability to stay updated on emerging data technologies and industry trends, and incorporate new knowledge into architectural practices. How you work:  You're proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes.  Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results. Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics.  Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support. You share insights to help the team stay ahead and make informed decisions. You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you.  You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration.  Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$130,000 - 160,000

*Co-op team members, independent contractors, and freelancers are not eligible for company benefits.  #LI-Hybrid   Where we work We have hubs in Boston, MA; Vancouver, BC; Toronto, ON; and Vancouver, WA. We post our positions in the location(s) where we are open to having the successful candidate be located. 

Diversity, inclusion, and accessibility At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.