Senior Cloud Data Engineer

***Only qualified Cloud Data Engineer candidates located in the Quincy MA area will be considered due to the position requiring an on-site presence***

Preferred Education:
Bachelors degree

Preferred Certifications:
Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification
Snowflake certification

Required Skills and Experience:
5 years of experience in Design and development of Data pipelines Cloud Data Architecture Data warehousing Data modeling ETL enterprise and business information system architectures and system engineering
Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles specifically Decentralized data architectures like Data Mesh
3-5 years of experience developing Cloud-based (AWS) data solutions
5 years of Cloud database platform experience such as Snowflake
Experience in creating and maintaining end-to-end data pipelines
Strong communication skills comfortable explaining/proposing solutions to technical stakeholders vendors and business consumers
Proficiency with Unix Linux and shell scripting
Experience working with a large multi-terabyte enterprise data platform in Cloud
Clear understanding on system administration database administration storage architectures backup & recovery and networking
3-5 years of experience in Informatica (IICS) ETL GitHub(CI/CD) and Airflow (Orchestration) experience
Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls

Preferred Skills and Experience:
Informatica (IICS) and Airflow (Orchestration) experience
Cognos and/or Tableau reporting experience

Client is looking for a highly skilled and experienced candidate to fill the Senior Cloud Data Engineer position for Data Modernization Initiative (DMI) Projects.
Client is executing large-scale data modernization across the agency as part of DMI. This includes creating a consolidated Enterprise Data Platform on modern cloud tools (including AWS & Snowflake) and re-platforming existing business data applications from solutions such as SAS and legacy databases to the new platform. Client data systems enable epidemiologists public health researchers state and local public health officials and business leaders to analyze public health trends and drive policy decisions.
The ideal candidate is an expert in Design and implementation of Data pipelines in both centralized and decentralized Data architectures. You can clearly articulate and implement different data ingestion patterns depending on use this role you are comfortable speaking to both business and technical stakeholders to ensure combined understanding and collaborative solutions. This role will be expected to own tasks and follow-up related to cloud data platform Design and development activities and establish well documented best practices and processes related to the Data Modernization efforts.

Detailed List of Job Duties and Responsibilities:
Involve in Design and development of cloud-based data management systems
Proficiency and practical experience in Design and implementation of data pipelines in both centralized and decentralized Data architectures
Ensures established data security policies and standards are followed while designing data solution for cloud-based platforms
Collaborates with cross-functional teams to architect highly scalable highly available and highly performant cloud data solutions
Evaluates and recommends new cloud products and services for efficient data curation storage and processing
Monitors the performance of cloud data solutions and strategizes optimization measures
Ensures compliance with data governance policies and best practices in the cloud
Implements data management and data governance processes for cloud data
Conducts thorough analysis and documentation of cloud data engineering strategies and designs
Establish regular overall system performance assessment processes and action plans
Expertise in Data Integration leveraging Informatica (IICS) Snowflake SQL and Python code to solve complex use cases
Provide direction for the design and development of the data layers including review of ETL requirements
Capable of leading team design sessions and facilitating decisions
Ensure timely delivery of solutions meeting requirements and expectations