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Data Architect- Baltimore, Maryland

Baltimore, MD, United States

Data Architect

Location: Baltimore, Maryland

Work Style: Hybrid (3 days on-site; 2 days work from home);

Only USC OR Green Card

Duties:

Developing and overseeing the data architecture strategy, ensuring the successful

integration and management of data across the lake house infrastructure

Data Architecture Design: Develop and maintain a robust data architecture strategy

for the AWS Cloud-based Lake House, encompassing data modeling, data storage,

data processing, and data integration across various AWS services, such as S3, Glue,

Athena, and Redshift.

Cloud Data Governance: Define and enforce data governance principles, standards,

and best practices to ensure data quality, security, and compliance with relevant

regulations.

Data Integration: Design and implement efficient data integration processes, enabling

seamless data flow between diverse data sources and the data lake infrastructure.

Performance Optimization: Collaborate with data engineers and technical teams to

optimize the performance and scalability of the data lake architecture, ensuring high

availability and low latency for data access and processing.

Metadata Management: Implement metadata management solutions to enhance data

discoverability, lineage, and cataloging within the data lake house.

Data Security: Develop and enforce security measures to protect sensitive data,

adhering to industry best practices and AWS security standards.

Collaboration and Leadership: Work closely with cross-functional teams, including

data analysts, data scientists, and data engineers, to understand their data

requirements and provide technical guidance on data-related initiatives.

Data Architecture Documentation: Maintain comprehensive documentation of the

data architecture, including architectural diagrams, design specifications, and data

flow processes.

Technology Evaluation: Stay informed about the latest AWS services and data-

related technologies, assessing their potential value and recommending their adoption

as appropriate.

Continuous Improvement: Continuously evaluate the effectiveness of the data

architecture, identifying opportunities for enhancement and driving improvements to

meet evolving business needs.

Education Qualification

Bachelor's Degree from an accredited college or university with a major in Computer

Science, Information Systems, Engineering, Business, or other related scientific or

technical discipline is required.

General Experience:

At least Fifteen (15) years of experience in architecting on-prem/cloud based multi user

environments with expertise in planning, designing, building, and implementing IT

application modernization/implementation effort.

Proven experience as a Data Architect, with a focus on designing and implementing

data solutions in AWS cloud environments.

Extensive knowledge of AWS cloud services, data lake architecture, and big data

technologies.

Strong understanding of data modeling principles, data governance, and data security

practices.

Demonstrated expertise in designing data integration solutions and optimizing data

processing performance.

Excellent analytical and problem-solving skills, with the ability to make data-driven

decisions.

Leadership skills to guide and mentor junior data architects and collaborate with cross-

functional teams.

AWS certifications, such as AWS Certified Solutions Architect, AWS Certified Data

Analytics - Specialty, or AWS Certified Big Data - Specialty, are highly desirable.

Strong communication and presentation skills to effectively convey complex technical

concepts to non-technical stakeholders.

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