Job Description :
Data Solutions Architect
Boston, MA
12 Months
Description:
The Sr. Data Solution Architect is a senior staff member of Data Solutions Delivery team. This role will lead the digital transformation of operational and foundational data architecture roadmaps to build highly available, scalable, and distributed data platforms using open source frameworks to process high volume, high velocity, and wide variety of structured and unstructured data. Strong focus on defining and executing data solutions with cloud (AWS) first strategy to deliver unparalleled consumer experience. Sr. Data Solution Architect will also be responsible for driving innovation, prototyping, and recommending solutions with emerging technologies.
Other responsibilities include designing and delivering data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environments. Strong communication skills with an ability to help business define requirements, articulate business requirements as technical architecture is also essential to this role.
Responsibilities
Deliver data architecture and solutions for critical strategic portfolio projects in collaboration with business and IT stakeholders.
Leadership skills to architect and design critical API/micro-services driven customer facing data capabilities on AWS platform.
Ability to collaborate and partner with business domain leads, data scientists, product owners, enterprise architects and other functional leads to deliver world class data solutions.
Establish enterprise level Data Security, Master Data Management and Reference Data Management guidelines.
Translate detailed business requirements into optimal technology solutions using AWS serverless, EC2 and other leading open source tools and technologies.
Manage technical delivery for projects, designs processes, manage and drive execution with help of consultants and associates.
Define and deliver consistent data engineering standards, methodologies, guidelines & techniques.
Diagnose and address complex problems, including performance issues, scale and drive to resolution to meet business initiatives.
Assist data analysts and end users across all functional areas in identifying long-term, strategic data needs for the enterprise, defining how the data is related to the business processes and developing a conceptual and functional model of the data.
Assist and advocate for bringing new technologies for data management, governance, and usage.
Work hands on with emerging technologies during software evaluations, PoCs and pilots.
Required Technical Skills
Minimum 10 years of progressively responsible work experience in data solutioning, architecture, design and development.
Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable
Minimum 5 years of experience with ETL/ELT design and development using tools like Talend, Informatica, Databricks, 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 3 years of experience with programming languages such as Node.js, Python, Java or Scala.
Minimum 2 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis.
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.
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.