Architect, Analytics Engineering

2 days ago

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Algolia

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Relevant, scalable, and blazing-fast search and discovery experiences

API • Headless • Search • Discovery • Personalization

201 - 500

💰 $150M Series D on 2021-07

Description

• Define the analytical data architecture principles, standards and guidelines and put controls in place to ensure these are followed • Have an in-depth knowledge of physical data modeling approaches including but not limited to kimball • Have experience of developing and managing conceptual, logical and physical data models • Critically assess the performance, scalability, access, governance etc. of the data architecture and put key indicators in place to monitor • Continuously review current data modeling principles and initiate any improvements to enable the implementation of the intended architecture • Create a shared understanding between the business teams and the data teams • Review and improve the data system as a whole, inclusive of data model designs, process flows, and end use cases • Have a strong understanding of building a compliant and secure data warehouse • Have a strong understanding of data access and control strategies • Applying knowledge of best data architecture practice and architecture documentation to manage current state of architecture and manage implementation of future state • Collaborate with people in the business to collect business requirements, design the conceptual and logical data models • Create automated governance processes that assures adoption, monitors and enforces the adoption of best practices in data architecture • Monitor the usage of the data warehouse and identify areas for improvement • Update key stakeholders on any changes to the data architecture • Approve key data model changes as a Reviewer and code owner for database and data model schemas • Contribute towards the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics • Lead governance projects related to the architecture • Ensuring the most appropriate security and compliance practices are embedded in the data architectural strategy

Requirements

• Knowledge of the various data architectures that can be implemented (Warehouse, Lakehouse, Data Mesh, Data Fabric, Data Vault etc.) • Knowledge of the various types of physical data modeling approaches including kimball • Have led the strategy and implementation of a data architecture in a previous role • Bachelor's or Master’s degree in technical discipline; Master’s preferred • Familiarity with Git • Ability to thrive in a fully remote organization • Positive and solution-oriented mindset • Comfort working in a highly agile, intensely iterative environment • Self-motivated and self-managing, with task organizational skills • Great communication: Regularly achieve consensus amongst technical and business teams • Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations • 3+ years managing the same data model system over time, evolving the model to meet new business requirements • Experience working with commercial data warehouses, ETL tools, data visualization and Data Dictionary tools (Redshift, Meltano, Dbt & Python scripts, Thoughtspot, Looker, Tableau, HEX, Atlan) • Demonstrated experience leading 2 or more multi-department analytics projects from inception to operationalization • Demonstrated proficiency with data system design, including databases, schema, marts, aggregates, and views • Experience with data access and security techniques, both inside and outside of a data warehouse • Experience with data pipelines in support of near real-time event stream processing • Created and presented multi-quarter development roadmaps to non-technical audiences