Cloud Data Architect

Arbor Research•Ann Arbor, MI

10d•$107,000 - $176,000

About The Position

Design and build AWS-based data platforms, including data lakes and analytics environments using services such as S3, Glue, Athena, Redshift, and Lake Formation. Architect secure, cost-efficient cloud infrastructure using IAM, KMS, CloudWatch, and related services. Implement data governance, security controls, and compliance frameworks consistent with appropriate requirements / standards. Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making. Enable secure, automated delivery of curated data to BI and decision-making dashboards using modern DevSecOps practices. Monitor system performance, automate scaling, and ensure high availability and resilience of the data environment. Optimize data storage and query performance, balancing cost and efficiency across environments. Support user access, permissions management, and data sharing models between internal and external collaborators. Develop infrastructure-as-code templates and maintain documentation for deployment and configuration. Provide technical mentorship to data and software engineering teams regarding AWS best practices and architecture patterns. Our core values define who we are as an organization and serve as the foundation of our code of ethics. Arbor Research expects all employees to embody these and demonstrate them in our day-to-day work. Collaborative Spirit We expect each staff member to learn from and teach one another and ask each to exhibit a curiosity and respect for the contributions of others. Creativity We strive to cultivate a challenging, stimulating, and supportive environment where our employees are expected to be inquisitive, take initiative, and demonstrate ingenuity. Credibility Our employees are smart, thoughtful, and objective in their work. We expect them to be technically solid in their area of expertise, and for those conducting research to demonstrate scientific rigor. Dedication Our team achieves success because of our dedication to carrying out high quality work and delivering trusted results. General administrative supervision is received from the Director of Data Services. Close collaboration is expected with other project work teams (investigators, analysts, project support, etc.). Direct reports may include Programmers (levels I, II, and Senior) with assignments on the Managing Programmer’s work group. Base Compensation Determination Base Compensation is determined by market range and geographic location pay zones. Base Compensation also includes various individual factors unique to each candidate such as job level, prior experience, skill set, certification and educational which may impact the compensation structure.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
5+ years of experience designing and implementing data solutions in AWS.
Proficiency in AWS services such as S3, Glue, Lambda, Redshift, CloudFormation, and IAM.
Strong experience with SQL and at least one scripting language (Python preferred).
Experience with data lakehouse design patterns, schema management, and ETL orchestration tools.
Familiarity with DevSecOps principles and cloud security standards.
Strong problem-solving skills and ability to work independently or within multidisciplinary teams.

Nice To Haves

AWS Certified Data Analytics – Specialty, or AWS Certified Solutions Architect preferred.
Non-profit experience
Health research background

Responsibilities

Design and build AWS-based data platforms, including data lakes and analytics environments using services such as S3, Glue, Athena, Redshift, and Lake Formation.
Architect secure, cost-efficient cloud infrastructure using IAM, KMS, CloudWatch, and related services.
Implement data governance, security controls, and compliance frameworks consistent with appropriate requirements / standards.
Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making.
Enable secure, automated delivery of curated data to BI and decision-making dashboards using modern DevSecOps practices.
Monitor system performance, automate scaling, and ensure high availability and resilience of the data environment.
Optimize data storage and query performance, balancing cost and efficiency across environments.
Support user access, permissions management, and data sharing models between internal and external collaborators.
Develop infrastructure-as-code templates and maintain documentation for deployment and configuration.
Provide technical mentorship to data and software engineering teams regarding AWS best practices and architecture patterns.