Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Data Architect/Consultant role involves designing modern, cloud-based data architectures to support major data transformation programs for clients in finance, pharma, and tech sectors, impacting enterprise initiatives.
Responsibilities and impact
The role requires defining scalable data models, architecting data pipelines and warehouses, advising on tooling across AWS, Azure, GCP, Snowflake, and Databricks, and ensuring data governance and integration while engaging stakeholders.
Experience and skills
Candidates must have proven experience in shaping data platforms across complex programs, strong knowledge of cloud environments and data governance, and skills in stakeholder engagement.
Company information
Empiric supports leading clients across various industries with data transformation programs, indicating a consultancy environment focused on client delivery.
Job location and travel
This is a freelance, remote position, allowing flexibility in work location.
Unique job features
This role offers high-visibility client work and the opportunity to work on cutting-edge cloud data architectures across multiple major platforms.
Company overview
Empiric is a data-driven technology company specializing in providing advanced analytics and insights to businesses across various industries. They generate revenue through subscription-based services, offering tailored data solutions that help organizations optimize their operations and decision-making processes. Founded in 2010, Empiric has grown rapidly, leveraging cutting-edge technology and a strong emphasis on innovation to stay ahead in the competitive analytics market. Their commitment to customer success and continuous improvement has established them as a trusted partner for many leading enterprises.
How to land this job
Position your resume to emphasize your expertise in designing cloud-based data architectures, highlighting experience with AWS, Azure, GCP, Snowflake, and Databricks to align with Empiric's client needs.
Focus on showcasing your ability to lead data transformation programs, including platform reengineering, data strategy development, and real-time analytics implementation, as these are key responsibilities.
Apply through multiple channels such as Empiric’s corporate website, LinkedIn job postings, and relevant freelance platforms to maximize your application reach.
Connect on LinkedIn with professionals in Empiric’s data architecture or consulting divisions; use ice breakers like commenting on recent Empiric projects or asking about their approach to data governance and cloud integration.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data governance,' 'scalable data models,' 'cloud-based architectures,' 'data pipelines,' and specific platforms like 'Snowflake' and 'Databricks' to pass initial screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application channels, and find LinkedIn contacts, freeing you to focus on preparing for interviews and networking effectively.
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