Data Architect

One of our clients is seeking a Data Architect responsible for designing, implementing, and maintaining the organization’s data architecture to ensure data integrity, scalability, and accessibility.

Data Architect
Remote
Interview: Microsoft Teams
Long Term

Key Responsibilities

Data Architecture Design

• Develop and maintain enterprise data models, schemas, and standards.
• Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake.

Database Management

• Oversee logical and physical database design for performance and scalability.
• Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.

Data Governance

• Establish data quality, security, and compliance standards.
• Implement metadata management and maintain a data dictionary.

Integration & ETL

• Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake’s ingestion and transformation capabilities.
• Ensure interoperability between on-prem and cloud systems.

Collaboration

• Work with business analysts, developers, and stakeholders to translate requirements into data solutions.
• Guide data modeling best practices.

Performance & Security

• Ensure data architecture meets performance SLAs and security requirements.
• Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments.

Innovation

• Evaluate emerging technologies (cloud, big data, AI/ML) for adoption.
• Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.

Required Skills

• Experience in data architecture, database design, and data modeling — 5 Years
• Experience in SQL Server/Oracle or similar RDBMS — 5 Years
• Experience with Cloud Platforms (Azure, AWS) — 5 Years
• Experience with ETL tools, API''''''''s and integration framework — 5 Years
• Expertise with modern cloud data warehouses such as Snowflake — 5 Years