Snowflake Data Architect

Job Description

Job Description

Job Description

• Job title: Snowflake Data Architect
• Experience: 12-20 Years
• Location: Houston, USA
• Job Type: Full-Time

Must Haves:

• Strong Snowflake Data Architecture experience.
• Data Governance & Metadata Management expertise.
• Understanding of Ontology & Semantic Modeling.
• Working knowledge of AWS services such as S3, Glue, Lambda, Athena, EMR, Redshift, and cloud-based data architectures.
• Oil & Natural Gas Midstream domain experience (Mandatory).
• Claude AI / Generative AI experience (Mandatory).

Qualifications:

• Strong experience in data engineering, data modeling, ETL/ELT, and cloud data platform development.
• Hands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.
• Experience working in AWS cloud environments.
• Experience with Informatica or similar enterprise data integration platforms for extract-load and ingestion patterns.
• Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows.
• Understanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access.
• Familiarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.
• Understanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts.
• Strong SQL skills and experience with Python or another data engineering language.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources.
• Develop data ingestion and extract-load processes using Informatica , aligning with enterprise standards and existing in-house capabilities.
• Build transformation logic using dbt, including modular models, testing, documentation, and deployment workflows.
• Design and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform.
• Work with AWS-based data services and infrastructure, supporting applications and data products running in the organization's AWS environment.
• Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns.
• Use Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing.
• Collaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products.
• Work with domain experts to understand business concepts, entities, relationships, and terminology.
• Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings.
• Support data products and applications such as news intelligence, asset intelligence, analytics, and AI-enabled use cases.
• Ensure data solutions meet enterprise requirements for security, privacy, access control, performance, and reliability.