Job summary
Job post source
This job is from a recruiting firm hiring for a separate company, as it mentions supporting a client rather than the company itself.
Job overview
The Data Architect / Data Modeler role involves designing scalable, cloud-based data warehouses using Snowflake to enable efficient reporting and analytics for the client.
Responsibilities and impact
The candidate will design data models, define architecture standards, lead data modeling efforts, develop documentation, collaborate with ETL and BI teams, optimize Snowflake data structures, and support governance and security.
Experience and skills
Requires 8+ years in data architecture or warehousing, strong Snowflake expertise, data modeling tool proficiency, dimensional modeling knowledge, SQL skills, and ETL/ELT experience; reporting tool and cloud platform experience preferred.
Company overview
Anblicks is a data and analytics company specializing in providing cloud data engineering, data analytics, and AI solutions to help businesses make data-driven decisions. They generate revenue through consulting services, implementation of data solutions, and ongoing support and maintenance. Founded in 2004, Anblicks has grown to serve a global clientele, leveraging partnerships with major cloud providers like AWS, Microsoft Azure, and Google Cloud. Their expertise lies in transforming raw data into actionable insights, enabling companies to optimize operations and drive growth.
How to land this job
Position your resume to highlight your extensive experience in data architecture and data modeling, particularly emphasizing your expertise in Snowflake and cloud-based data warehouse design.
Focus on showcasing your skills in designing conceptual, logical, and physical data models, as well as your proficiency with dimensional modeling, SQL, and ETL/ELT processes, aligning closely with the job description.
Apply through multiple channels such as Anblicks' official corporate website, LinkedIn job postings, and other reputable job boards to maximize your application visibility.
Connect with current employees in the data architecture or analytics divisions at Anblicks on LinkedIn; start conversations by referencing recent projects they’ve shared or expressing genuine interest in their approach to cloud data warehousing.
Optimize your resume for ATS by incorporating specific keywords like 'Snowflake,' 'data warehouse,' 'dimensional modeling,' 'ETL/ELT,' and 'data governance' to ensure it passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, locate multiple application portals, and identify LinkedIn connections to network with, allowing you to focus more on preparing for interviews and skill enhancement.
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