We’re looking for a Data Architect to design, build, and maintain scalable data systems that support analytics, reporting, and data-driven decision-making. You’ll translate business requirements into robust data architectures and ensure data is reliable, secure, and easy to use across the organization.
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Design and maintain enterprise data architecture (data models, schemas, pipelines, and standards)
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Define and implement data solutions for warehouses, lakes, and real-time systems
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Collaborate with stakeholders (engineering, analytics, product, business teams) to translate requirements into technical designs
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Establish data governance, quality, lineage, and metadata standards
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Select and optimize data storage, integration, and processing technologies
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Ensure data security, privacy, and compliance with relevant regulations
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Review and guide data engineering implementations and best practices
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Monitor performance, scalability, and cost efficiency of data platforms
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Document architectures, patterns, and data flows
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Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
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Proven experience as a Data Architect, Data Engineer, or similar role
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Strong expertise in data modeling (conceptual, logical, physical)
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Hands-on experience with SQL and relational databases (e.g., PostgreSQL, SQL Server, Oracle)
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Experience with data warehouses and/or data lakes (e.g., Snowflake, BigQuery, Redshift, Azure Synapse)
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Familiarity with ETL/ELT tools and data integration patterns
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Solid understanding of cloud platforms (AWS, Azure, or GCP)