Senior Cloud Data Architect

Company:  Mindlance
Location: Quincy
Closing Date: 20/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
POSITION OVERVIEW: The client is seeking a Senior Cloud Data Architect to play a crucial role in leading Data platform architecture design and implementation. The Data Office is leading a central Data Modernization program that will include new central data capabilities, as well as improvements and coordination with its 12 constituent agencies, such as the Department of Public Health and the Department of Mental Health. The ideal candidate is an expert in Design and implementation of Cloud Data platforms using decentralized Data architecture principles like Data Mesh. You can clearly articulate and present different data architecture principles and standards. In 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:

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.

Evaluates and recommends 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.

QUALIFICATIONS:

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 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 health care information and familiar with HIPAA

and other data privacy controls.

PREFERRED SKILLS:

" Amazon Web Services (AWS) Certification or Cloud Data architect Certification

" Snowflake certification

" Cognos and/or Tableau reporting experience

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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