Data Architect

HatchPros
Corvallis, OR Contractor
POSTED ON 7/26/2024 CLOSED ON 8/23/2024

What are the responsibilities and job description for the Data Architect position at HatchPros?

USC and GC candidates

Seeking a Data Architect to relocate day 1 to Corvallis, OR (on-site at least 3 days a wek).

Data Architect

Location: Corvallis, Oregon

Data Governance And Quality

The Data Architect plays a critical role in shaping and optimizing our data ecosystem. They are responsible for designing, implementing, and maintaining data solutions that drive business insights and support strategic decision-making. As a key influencer and change agent, the Data Architect collaborates with cross-functional teams to ensure data governance, quality, and standardization. Let’s dive into the specifics:

Champion data governance practices and policies.

Influence stakeholders to adhere to data standards and best practices.

Implement data quality frameworks, including profiling, cleansing, deduplication, and monitoring.

Platform Design

Understand modern data platform architectures, especially cloud-native solutions.

Design scalable, reliable, and cost-effective data platforms using AWS services or other cloud providers.

Data Modeling

Proficiently create efficient data schemas that meet analytical and operational needs.

Ensure adherence to performance and scalability best practices.

Data Integration

Expertise in integrating data from diverse sources.

Familiarity with ETL/ELT tools and real-time data integration methods.

Cloud Computing

Understand cloud concepts and have hands-on experience with AWS or other cloud platforms.

Familiarity with services like S3, Redshift, Glue, and Athena.

Programming And Scripting

Proficiency in Python and SQL for data processing, automation, and scripting.

Communication And Stakeholder Management

Collaborate effectively with cross-functional teams.

Translate business requirements into technical solutions.

Communicate complex ideas to stakeholders at all levels.

Problem-Solving And Analytical Thinking

Analyze intricate data-related challenges.

Identify root causes and propose innovative solutions.
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