Data Architect
Core
Designing, implementing, and managing enterprise-level data architecture to ensure data integrity, scalability, and security while aligning data strategies with business objectives.
Role type
Senior Data Architect
Builds
Enterprise data models, data pipelines, ETL processes, and governance frameworks
Domain
Energy & Chemicals / Data Engineering & Architecture
Required skills
Data architecture design, Data modeling (conceptual/logical/physical), Data integration & ETL, Data governance & compliance, Database performance optimization, Cloud data platforms (Snowflake, Azure), Data pipeline orchestration (Airflow, Databricks), Data transformation (dbt), SQL & NoSQL expertise
Preferred skills
Airtable platform, Big data tools (Hadoop, Kafka, MongoDB), Container technologies (Kubernetes, Docker)
Technologies
Snowflake, Azure Data Explorer, Azure Data Factory, Databricks, Airflow, Qlik Replicate, Fivetran, dbt, SQL, NoSQL, Python, C#, Java
Responsibilities
Develop and maintain enterprise-level data architecture including conceptual, logical, and physical data models; Design and implement data pipelines, ETL processes, and integration strategies for structured and unstructured data; Establish data governance frameworks and ensure compliance with data privacy regulations; Optimize database performance, storage, and retrieval processes; Collaborate with data engineers, analysts, and business teams to translate requirements into technical solutions; Assess and recommend tools, platforms, and technologies for data management and analytics
Seniority
Senior, hands-on IC
