What are the responsibilities and job description for the Data Solutions Architect position at Egen Solutions?
About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
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About the opportunity:
Are you an experienced Data Solutions Architect ready to make a significant impact on healthcare? Join our dynamic team in Nashville and help us revolutionize patient care through data-driven innovation. Note: This is a hybrid role in Nashville, TN
As a Data Solutions Architect, you will play a pivotal role in architecting our machine learning and data engineering initiatives. You will collaborate with cross-functional teams, including data scientists and clinical experts, to design, develop, and deploy robust data solutions that leverage the power of AI and ML to improve patient outcomes. Your work will directly impact the lives of patients by enabling data-driven decision-making and accelerating medical research. You will also have the opportunity to interact with clients, understanding their unique needs and tailoring solutions to their specific requirements.
About the job:
- Design, architect, develop, support GCP data pipelines to extract, load, and transform data
- Maintain a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and supported (i.e. documentation)
- Work with the project team, estimate and plan the work effort
- Attend daily team standups
- Work with business analysts and project management to review business requirements and and produce technical design specs that will meet the requirements
About you:
- 5 years of hands-on experience as a Data Engineer or Data Architect
- Strong understanding of ML concepts and models based on ML (Ex: Time series, predictive modeling)
- Proven track record leading technical projects and teams
- Client facing exposure
- Expert proficiency in Google Cloud Platform (GCP) tools, including: Google Cloud Storage (GCS), BigQuery, Cloud Composer/Airflow
- Strong data analysis and problem-solving skills
- Proficiency in a Business Intelligence (BI) tool
- Advanced SQL skills, including writing, tuning, and interpreting complex SQL queries
- Experience writing and maintaining Unix/Linux shell scripts
- Solid understanding of Data Build Tool (DBT)
- Experience with CI/CD pipelines
- Machine Learning experience
- Proficiency in developing Python-based ELT data pipelines
- Expertise in optimizing GCP BigQuery SQL queries and scripts
Compensation:
Compensation will be commensurate with experience and skills. We offer a competitive salary and benefits package, including health insurance, retirement plans, and professional development opportunities
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.