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Senior Cloud Data Architect :: In-Person Interview

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Seeking for the Sr. Cloud Data Architect for our direct client in Quincy/Boston, MA/Hybrid.

Local Only from MA, NH or RI and must have recent client experience from these locations.

In-Person Interview

Direct Client: Executive Office of Health and Human Services (State of MA)

Title: Sr. Cloud Data Architect

Location: Quincy/Boston, MA/Hybrid

Duration: 6 Months with a possible extension

Hybrid 2-3 days onsite every week

Works Hours paid 37.5 Hrs

Client Job Description

Designs and develops architecture of cloud-based data management systems.

Proficiency and practical experience in implementing Centralized (Data Warehouse) and decentralized (Data Mesh) data architectures.

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.

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 Snowflake, Informatica IICS, SQL, Mulesoft and Python code to solve complex use cases

Excellent understanding and practical experience on Salesforce CRM

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.

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, reviewing 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 and Mulesoft experience

Salesforce Experience

Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls.

Preferred experience/skills:

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

Snowflake certification

Tableau reporting experience

Salesforce experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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