Data Architect designing end-to-end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Responsibilities
Architect and design end-to-end Snowflake data solutions, aligning technical architecture with business objectives and enterprise standards.
Define and implement best practices for Snowflake architecture, including data modeling, security, performance tuning, and cost optimization.
Design and oversee data integration pipelines using modern ETL/ELT tools (e.g., Snowpipe, Airflow, Informatica, Talend, or cloud-native services).
Collaborate with data engineers, analysts, and business stakeholders to translate data requirements into scalable and maintainable Snowflake-based solutions.
Integrate data from diverse sources—on-premises systems, cloud platforms, APIs, and third-party data providers—into the Snowflake environment.
Implement and maintain data governance, lineage, and metadata management across the Snowflake ecosystem.
Monitor and optimize query performance, storage, and compute resources, ensuring reliability and efficiency.
Maintain clear and comprehensive documentation of data models, data flows, and architectural decisions.
Stay current with emerging technologies and Snowflake capabilities, continuously improving architecture and delivery practices.
Requirements
Overall 12+ years of experience with minimum 3 years of experience in data architecture, data engineering, or data warehousing, with hands-on expertise in Snowflake.
Proven experience designing and deploying large-scale data platforms in cloud or hybrid environments (AWS, Azure, or GCP).
Strong proficiency in SQL (Snowflake SQL, T-SQL, or PL/SQL) and programming/scripting languages such as Python or Spark.
Deep understanding of Snowflake features, including virtual warehouses, streams, tasks, data sharing, and security configurations.
Strong data modeling skills (dimensional, normalized, denormalized, etc.) and familiarity with modern data architecture patterns such as Data Mesh, and Medallion.
Experience with ETL/ELT design, data orchestration, and workflow automation tools.
Bachelor’s or graduate degree in Computer Science, Information Systems, or a related field.
Excellent analytical, communication, and problem-solving skills.
Ability to produce clear, concise, and well-structured technical documentation.
Good interpersonal skills using English, both spoken and written, as will be working with overseas team
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