Data Architect

Summary

Join Later, a leading social media and influencer marketing company, as their Data Architect. You will be responsible for designing and managing the organization's data architecture, ensuring data is organized, accessible, and secure. This role involves defining data standards, building data infrastructure, and collaborating with stakeholders. The ideal candidate possesses a strong technical background and deep understanding of data architectures. You will develop and implement data strategies, integrate data from various sources, and build scalable data solutions. You will also collaborate with teams, evaluate new technologies, and ensure data governance and security.

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
• 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)

Responsibilities

• Develop and implement a comprehensive data architecture strategy, including data modeling, data integration, and data storage solutions to support current and future needs
• Lead efforts to integrate data from various sources, ensuring seamless data flow and consistency across different systems and platforms
• Design and maintain scalable data solutions, including data lakes, data warehouses, and real-time data pipelines that enable efficient data processing and accessibility
• Collaborate with BI and analytics teams to design and implement data visualization solutions that provide actionable insights
• Establish and enforce data governance policies to ensure data quality, consistency, security, and compliance with regulatory requirements
• Work closely with data engineering, analytics, and business teams to understand data needs and ensure alignment of data architecture with business objectives
• Evaluate and recommend new data technologies, frameworks, and tools to improve data capabilities and operational efficiency
• Define and document data standards, architectural designs, and best practices to create a cohesive data ecosystem
• Implement processes and tools to continuously monitor and improve data quality, addressing issues such as data accuracy, completeness, and timeliness
• Implement security protocols and privacy best practices to protect sensitive data and ensure compliance with privacy regulations (e.g., GDPR, CCPA)
• Oversee the lifecycle of data from creation to archiving, ensuring efficient data retention, retrieval, and deletion practices
• Implement MDM strategies to ensure a single, consistent, and accurate view of critical business data across the organization
• Establish and maintain a metadata repository to enable better data discovery, governance, and usage

Preferred Qualifications

• Master’s degree in Computer Science, Information Systems, or a related field
• Familiarity with machine learning pipelines and supporting data infrastructure
• Knowledge of agile methodologies and data management best practices
• 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

Benefits

• Various benefits plans (details not specified, but excludes co-op team members, independent contractors, and freelancers)
• Salary Range: $140,000 - 170,000 CAD
• Remote work options for select positions