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.