- Minimum 8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms and applications.
- Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable).
- Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent.
- Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch).
- Minimum 4 years of experience with programming languages such as Node.js, Python, Java or Scala.
- Minimum 3 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis etc..
- Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
- Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.
- Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous and evolving requirements.
- Minimum 2 years of experience with building solutions using tools like Vizio, Draw.io and Miro.
- Experience working with RESTful API and general service-oriented architectures.
- Experience with DevOps, Continuous Integration and Continuous Delivery technologies is desirable.
- AWS Solution Architect certification (associate & above) is highly desirable.
- Healthcare domain knowledge is a huge plus.
- Excellent verbal and written communication skills.
Top Required for this role:
- Deep experience working as a Data Solution Architect with 5+ years AWS Cloud – This is BCBS-MA’s platform of choice and the Director is a former AWS employee.
- 10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environment
- Data Solution Architect must excel in client/ stakeholder interactions, bridging the gap between technical complexities and business requirements. Clear and concise communication of technical decisions to non-technical stakeholders will be crucial for success and successful adoption