Mindlance - Quincy, MA

posted 19 days ago

Full-time - Senior
Quincy, MA
Professional, Scientific, and Technical Services

About the position

The Data Office is seeking a Senior Cloud Data Architect to lead the design and implementation of cloud data platforms as part of a central Data Modernization program. This role involves collaborating with both business and technical stakeholders to develop decentralized data architectures, particularly focusing on Data Mesh principles. The architect will be responsible for establishing best practices, ensuring compliance with data governance policies, and optimizing cloud data solutions using modern tools like Snowflake and Tableau.

Responsibilities

  • Designs and develops architecture of cloud-based data management systems.
  • Proficiency and practical experience in implementing decentralized data architectures like Data Mesh.
  • Creates data models including data storage, access, and usage patterns for cloud environments.
  • Defines data security policies, authentication, and authorization mechanisms for cloud-based platforms.
  • Collaborates with cross-functional teams to architect highly scalable, highly available, and highly performant cloud data solutions.
  • Evaluate and recommend new cloud products and services for efficient data 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 architecture strategies and designs.
  • Establish regular overall system performance assessment processes and action plans.
  • 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.
  • Experience in Data Integration leveraging Informatica Snowflake, IICS, SQL, and Python code to solve complex use cases.
  • Ensure timely delivery of solutions meeting requirements and expectations.

Requirements

  • 5+ years of experience in 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 architecting/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 architectures.
  • Strong communication skills and 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.
  • Experience with system administration, database administration, storage architectures, backup & recovery, and networking.
  • Informatica (IICS) ETL & Snowflake Data Warehousing experience.
  • Experience working with highly sensitive healthcare information and familiarity with HIPAA and other data privacy controls.

Nice-to-haves

  • Amazon Web Services (AWS) Certification or Cloud Data Architect Certification
  • Snowflake certification
  • Tableau reporting experience
  • Salesforce experience
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