Senior Data Architect

1 month ago

Quincy, United States LanceSoft Full time
Enter Job Description...
The ideal candidate is an expert in Design and implementation of Cloud Data platforms. 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.

DETAILED LIST OF JOB DUTIES AND RESPONSIBILITIES:
  • 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: Minimum experience/skills:
  • 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 HIP nd other data privacy controls.

Preferred experience/skills:
  • Amazon Web Services (AWS) Certification or Cloud Data architect Certification
  • Snowflake certification
  • Tableau reporting experience
Salesforce experience

EEO Employer
LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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