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    3 weeks ago

    St. Petersburg, United States Selby Jennings Full time

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    3 days ago

    St Louis, Missouri, United States ClifyX Full time

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Senior Data Architect

2 months ago

St Paul, United States PDSSOFT Full time

SENIOR DATA ARCHITECT SUMMARY: As a Senior Data Architect, you will play a pivotal role in shaping our data architecture and strategy. You will be responsible for designing, implementing, and managing our data infrastructure to support analytics, reporting, and operational requirements. This role combines architectural expertise with team leadership, offering a unique opportunity to influence both our technological landscape and team development. SENIOR DATA ARCHITECT RESPONSIBILITIES: Data Architecture Design & Implementation: Designs and implements robust and accurate data models and architectures to support business objectives. Leads the selection and integration of data management tools and platforms. Ensures the security, integrity, and availability of data across all platforms. Team Leadership & Management: Manages and mentors a team of Data Engineers and Business Intelligence (BI) Analysts, fostering a collaborative and high performing environment. Plans and prioritizes team responsibilities, projects, and initiatives to align with company goals. Facilitates continuous learning and development within the team. Data Strategy & Governance: Develops and implements data governance and quality standards. Collaborates with stakeholders across the company to identify and meet data needs. Stays abreast of industry trends and advancements in data technology, applying insights to our strategy. SENIOR DATA ARCHITECT QUALIFICATIONS: Required Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Information Technology or a related field. Minimum of 8 years of experience in data engineering, data architecture, or a related role. Minimum of 4 years of experience in a managerial role overseeing direct reports. Expert level skills in SQL, Data Modeling, Data Warehouse architecture and ETL / ELT patterns. Strong understanding of modern data platforms and technologies. Continuous learning mindset to stay updated with emerging technologies and trends in data engineering and architecture. Preferred Proficient in database technologies such as MS SQL Server, Azure, Tableau, Airbyte, Snowflake or DBT. Previous experience within the financial services industry is a plus.

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