As a Data Architect at Allata, you will be responsible for designing and architecting comprehensive data solutions across multiple platforms aligned with client needs and objectives, ensuring robust and scalable solutions.

In Short

Lead data architecture transformations and migrations to modern cloud solutions.
Design and implement Virtual Cloud solutions.
Develop efficient ETL/ELT pipelines for data integration.
Create scalable data models and databases.
Manage data projects and ensure successful outcomes.
Lead cross-functional teams to meet client goals.
Engage with clients for tailored solutions.
Maintain high standards of solution quality and performance.
Stay updated with industry trends and technologies.

Requirements

Advanced experience with database technologies (e.g., SQL Server) and data warehousing solutions (e.g., Snowflake).
Experience with data integration tools and APIs.
Expertise in advanced analytics and BI tools.
Familiarity with DevOps practices and automation tools.
Strong leadership skills in managing data teams.
Effective communication skills with clients and teams.

Benefits

Opportunity to work with cutting-edge technologies.
Collaborative work environment.
Professional growth and development opportunities.
Engagement with diverse clients and projects.

Allata

Allata is an IT company specializing in strategy, architecture, and enterprise-level application development, with a global presence in the US, India, and Argentina. The company positions itself as a strategic advisor, dedicated to enhancing business opportunities for clients through custom technologies, process automation, and efficient solutions. Allata offers a wide range of services including Data Analytics, Advanced Integrations, Product Launch, Experience Design, Support, Cloud, DevOps, and Software Development. Their agile development teams, supported by on-site senior leadership, collaborate closely with clients, whether integrating with in-house teams or providing external architectural guidance. Currently, Allata is focused on improving client loyalty programs by upgrading data analysis capabilities and migrating existing systems to modern platforms.

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