Full-Time

Data Architect

Confirmed live in the last 24 hours

Later

Later

1,001-5,000 employees

Social media management and influencer marketing tools

Consumer Software
Consumer Goods

Compensation Overview

CA$140k - CA$170kAnnually

Senior, Expert

Vancouver, BC, Canada

This position is hybrid, indicating that some in-office presence is required.

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Redshift
NoSQL
BigQuery
Apache Spark
SQL
Machine Learning
Apache Kafka
AWS
Hadoop
Data Analysis
Snowflake
Google Cloud Platform

You match the following Later's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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.
Responsibilities
  • 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.
Desired Qualifications
  • Proactive and results-driven, always taking initiative, aligning actions with company goals, and delivering consistent outcomes.
  • Strategic and forward-thinking, balancing immediate needs with long-term opportunities to drive impactful, innovative results.
  • Curiosity that fuels success, keeping sharp on industry trends, competition, and cross-functional business dynamics.
  • Adaptable and resourceful, handling shifting priorities with ease, managing time effectively, and knowing when to ask for support.
  • Bringing positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you.
  • Leading with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration.

Later provides tools for social media marketing, focusing on helping marketers, brands, and influencers create engaging content and measure their results. Its main products include Later Influence, which automates influencer campaign management; Later Social Media Management, a tool for planning and analyzing social media posts; and Later Link in Bio, which allows users to drive traffic to multiple destinations from a single link. Unlike many competitors, Later emphasizes a subscription model that offers various service tiers, ensuring continuous updates and support. The company's goal is to establish the first "Social Revenue" platform, enabling clients to achieve predictable returns from their social media activities.

Company Stage

Seed

Total Funding

$3.7M

Headquarters

Vancouver, Canada

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-enhanced search optimizes influencer discovery and ROI for brands.
  • Social commerce trends offer new monetization opportunities for creators.
  • Later's partnerships with major social platforms expand its market reach.

What critics are saying

  • Linktree's growth may overshadow Later's Link in Bio tool.
  • Integration of Mavely could distract from core offerings.
  • Instagram's video shift may require adaptation of Later's tools.

What makes Later unique

  • Later combines influencer marketing and social media management in a unified platform.
  • The company offers AI-powered social listening tools for actionable insights.
  • Later's acquisition of Mavely enhances its social commerce capabilities.

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Benefits

Hybrid work environment

Education & conference budget

Wellness spending account

Flexible hours & work schedule

Technology bonus

Annual company retreat

Vacation & wellness days

Parental leave top-up

Learning & development workshops

Stock options