Opala is hiring an experienced
Data Architect to the team. In this remote role, you’ll assist in the design of Opala’s data platform. You should have a strong background working with relational and non-relational databases, data lake design, and data warehousing principles. You should also have experience with both relational modeling and dimensional modeling in a star/snowflake schema. In this role, you will lead the efforts to expand the design of our data hub.
At Opala:
- Our Mission is to collect, standardize and consolidate healthcare data to build a complete picture of patient health.
- Our Vision is to be the most trusted source of patient insights, radically improving healthcare.
- And our team values Integrity, Innovation, Inclusivity and Excellence.
Responsibilities:
- Manages the design and modelling of our data platform through a data-lake/data warehouse architecture.
- Works with engineers and other architects to design, plan and scope efforts related to product and project work.
- Delineates patterns and templates for dataflow and data modelling.
- Works with data analysts and developers to determine enhancements to our data hub that can be implemented efficiently and smoothly.
- Works with product team to assist with requirements planning and project scoping.
- Develops code, performs code reviews and works with team to ensure architecture is implemented as designed.
- Works with Data Analysts to maintain and expand our data dictionary.
- Offers innovative technical solutions to evolving customer requirements.
Competencies:
- 7+ years’ relevant experience in software development.
- 5+ years’ data architecture experience.
- 3+ years’ developing in a structured language (Python, Java, C# etc.)
- 3+ years experience with cloud computing/data platforms, Azure preferred
- Advanced knowledge of data structures in both relational and non-relational dbs.
- Knowledge of different data modeling methodologies.
- Deep familiarity with relational and non-relational databases, such as Databricks, Postgres, SQL Server, Dynamodb, Cassandra,
- Experience with Agile and Kanban methodologies.
- Bachelor’s degree in Computer Science, Engineering, or other related technical discipline, or equivalent relevant work experience
Preferred Qualifications:
- Experience architecting Databricks data solutions.
- 2+ years developing in Databricks/Spark/PySpark
- 2+ years’ experience and working knowledge of data in a healthcare data management environment
Benefits:
- The Seattle base salary range for this full-time position is $163-$188k. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
- Benefits include medical, dental, vision, life and AD&D insurance, EAP, short-term and long-term disability, 16 days PTO, 8 paid holidays, fully paid holiday closure, parental and family medical leave, 401k, stock options and annual bonuses and salary increases based on merit.
Diversity and Inclusivity Statement:
- At Opala, we believe that diversity and inclusivity are critical to our success. We encourage and value diverse perspectives and experiences, and we believe that they are essential for driving innovation and creating products that meet the needs of our diverse customer base.
Opala is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
Accommodations are available for applicants with disabilities.
