Data Architect

Data Architecture Design:

Develop and maintain enterprise-level data architecture, including conceptual, logical, and physical data models.

Data Integration & Management:

Design and implement data pipelines, ETL processes, and integration strategies for structured and unstructured data sources.

Governance & Compliance:

Establish data governance frameworks, ensure compliance with data privacy regulations (GDPR, HIPAA, etc.), and maintain data quality standards.

Performance Optimization:

Optimize database performance, storage, and retrieval processes for high availability and scalability.

Collaboration:

Work closely with data engineers, analysts, and business teams to translate business requirements into technical solutions.

Technology Evaluation:

Assess and recommend tools, platforms, and technologies for data management and analytics.

About you

Skills and Qualifications
 

• Bachelor’s or master’s degree from a recognized university in Computer/IT other relevant engineering disciplines.
• Minimum 10+ years of experience with data processing / analytics, and ETL data transformation. Proficient in ingesting data to/from Snowflake, Azure storage account.
• Proficiency in at least one of the following languages: Python, C#, C++, F#, Java.
• Proficiency in SQL and NoSQL databases. Knowledge of SQL query development and optimization.
• Demonstrated experience Snowflake, Qlik Replicate, Fivetran, Azure Data Explorer.
• Cloud azure experience (current/future) used (ADX, ADF, Databricks).
• Expertise with Airflow, Qlik, Fivetran, Azure Data Factory.
• Management of Snowflake through DBT scripting.
• Solid understanding of data strategies, including data management, data curation, and data governance.
• Ability to quickly build relationships and credibility with business customers and agile teams.
• A passion for learning about and experimenting with new technologies.
• Confidence in creating and delivering technical presentations and training.
  • Excellent organization and planning skills