Senior Data Architect
2 weeks ago
Are you passionate about working with cutting-edge data technologies to drive business growth? Loblaw Technology & Analytics is seeking a talented Senior Data Architect to join our team.
This role will play a vital part in designing and implementing the end-to-end architecture for our Cloud Data Platform, which supports our analytics, business intelligence, and machine learning capabilities. You will define data management standards, best practices, and data modeling, and conceptualize new design patterns at project and enterprise levels.
As a Senior Data Architect, you will collaborate closely with engineers, analysts, and business leads to ensure alignment with our organization's goals and objectives. You will act as an ambassador for the platform's guiding principles and lead data architecture initiatives to ensure designs are in compliance with data management standards and best practices.
Key responsibilities include:
- Designing robust, reusable, and scalable data solutions and pipeline frameworks to automate ingestion, processing, and delivery of batch and real-time streaming data
- Leading data architecture initiatives and collaborating with data analysts, data engineers, data governance, and business partners to ensure designs are in compliance with data management standards and best practices
- Recommending the appropriate data stores and building and maintaining conceptual, logical, and physical data models for transactional, business intelligence, operational, and analytical platforms
- Producing and implementing solutions for all stages and aspects of the data solution life cycle, including non-functional requirements such as high availability and disaster recovery
- Staying up-to-date with emerging technologies and trends in data architecture to continuously improve and enhance the data platform
Requirements include:
- A thorough understanding of the fundamentals of data warehousing, big data, data lakes, data governance, and data management with a focus on the data architecture field
- Proven experience with relational databases (Teradata, Oracle, SQL Server) and an understanding of non-relational databases (Fire store, DynamoDB, MongoDB), along with thorough knowledge and hands-on expertise in data modeling concepts and SQL queries
- Strong understanding of emerging data technologies and concepts such as Data Fabric, Data Mesh, Data Virtualization, and Semantic Layer
- Demonstrated ability with Cloud platforms such as Azure, GCP, or AWS, with knowledge of cloud migration and integration strategies and techniques
- Hands-on experience with Cloud platforms and big data services and tools, such as Data Proc, Dataflow, Big Query, S3, Redshift, Kafka, and Kubernetes, Hive, and Hadoop
- Considerable experience in leading solution architecture, design, and development of end-to-end data systems that enable well-integrated transactional, business intelligence, and analytical data platforms
- Strong knowledge of industry-wide architecture patterns and approaches, with the ability to derive meaningful insights from requirements and think big picture
- Strong leadership and cross-functional team management skills, and excellent communication and interpersonal abilities to communicate complex technical concepts to both technical and non-technical audiences
- A great teammate and self-starter with the ability to work effectively in a team and independently drive projects forward
Loblaw offers a range of benefits, including flexibility and balance, a phenomenal team to help you achieve your goals, and a fast-paced, exciting technology environment. Join us and help us achieve our goals while achieving yours.
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