: Corvallis, Oregon : Relocation Allowed Nearby states

POSITION Data Architect LOCATION Corvallis, Oregon – will allow relocation for hybrid onsite – need to be onsite day 1 DURATION 6+ months C2C PAY RATE $75 INTERVIEW TYPE Video
REQUIRED SKILLS Three Primary areas are looking for this person: • Data Governance • Data Quality • Being a Change Agent or having ability to influence to take on what this new platform and modernization o Need to be experienced enough to articulate their vision, getting buy in from R&D Data side, ensure Senior Leaders have the buy in that they won’t disrupt their current flows, they are enhancing it. • Ideal Candidates needs to have a combination of Architecture/Engineering skills and be strong communicators to implement and sustain changes to their downstream data collection and analytics
Data Governance and Quality: 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.
Regards, Manish Rai
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