Data Architect, Later
CA$140-170k
Social media marketing scheduling platform
Be an early applicant
Social media marketing scheduling platform
1001+ employees
Be an early applicant
CA$140-170k
1001+ employees
Company mission
To build the world’s first Social Revenue Platform.
Role
Who you are
- The ideal candidate will have a strong technical background and a deep understanding of both traditional and modern data architectures
- 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)
- Proven hands-on experience in designing and implementing scalable search systems for large datasets
- Ability to stay updated on emerging data technologies and industry trends, and incorporate new knowledge into architectural practices
- 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
What the job involves
- 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
- 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
Our take
Platforms like Instagram, Pinterest, and TikTok have become indispensable for businesses of all sizes, shaping their marketing strategies and driving success. Later specializes in assisting customers in navigating these channels. Offering a visually oriented suite of tools, the marketing platform enables marketing managers to schedule, analyze, and track sales from their content effectively.
Focusing on small businesses, Later is doubling down on its strategy, aiming to provide additional products tailored for marketers at these enterprises while expanding its geographic reach. This expansion of product capabilities not only caters to the evolving needs of small businesses but also helps Later mitigate platform risk from social media companies mimicking its services. Partnerships with platforms like TikTok and Instagram, featuring post scheduling, analytics, and conversation tools, showcase Later's commitment to innovation and staying ahead in the competitive landscape.
In a significant development, Later recently merged with Mavrck to become one single brand under the name Later. The unified entity brings together its flagship products to drive traffic and revenue from platforms like Instagram and TikTok. This move aims to enhance user experience, drive engagement, and allow brands and creatives to achieve their social marketing and revenue goals effectively.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2015
$1.2m
SEED
Dec 2014
$1.3m
SEED
Total funding: $3.8m
Company benefits
- Flexible Paid Time Off
- Hybrid Work Environment
- Competitive Healthcare Benefits
- Stock Options
- Learning & Development Opportunities
Company values
- Lead with Humility: We’re a community that puts what’s best for all ahead of what’s best for one - no big egos here
- Adapt and Grow: We embrace the challenges and the wins together, learning from each other along the way
- Make it Happen: Nothing is impossible. We have big ambitions and are determined to achieve them with creative solutions
- Succeed Together: We lift each other up and have each other’s backs. There’s a seat for everyone at this table
- Celebrate: We’re optimistic, celebrating each other, our progress, and the unique perspectives each member brings to the team
Company HQ
Chinatown, Vancouver, BC
Articles
Leadership
Roger Patterson
(Co-Founder)Serial entrepreneur and Software Engineer, Roger has also co-founded Launch Academy, a non-profit grass-roots startup incubator, gaming company, Flock & Swarm Mobility and automated business intelligence company, Datacomb Data Services.
Ian Mackinn
(Co-Founder & CTO)Ian has had a hand in building enterprise-scale software products over a successful career at Google, SAP and Pulse Energy. Ian co-founded Placeling and was the Technical Lead at the mapping startup, Mapdash.
Cindy Chen
(Co-Founder)A design expert, Cindy has worked as Product Designer at Thinkific and as a Design Lead at Momentus Software.
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