Data Architect Offline

About Project — our client provides Business Intelligence solutions tailored for life insurance companies. They help clients gain real-time visibility into their actuarial and operational health.

Engagement type: part-time, 5-6 months.

Key Responsibilities:

• Designing, implementing, and maintaining the overall data architecture, ensuring scalability, performance, and security.
• Defining standards and best practices for data modeling, data storage, data integration, and data consumption.
• Evaluating and recommending data technologies and platforms (e.g., databases, data warehouses, data lakes, processing frameworks).
• Overseeing the design and implementation of data models tailored to business needs
• Ensuring data quality, security, consistency, and accessibility across the organization.
• Collaborating with engineering teams to ensure efficient and reliable data pipelines and integration processes.
• Contributing to documentation processes.

Requirements:

• Deep experience in data modeling, database design, and data warehousing concepts.
• Proven ability to design and implement scalable, reliable, and secure data architectures.
• Experience with various data storage technologies (relational, NoSQL, data lakes, data warehouses, e.g., Snowflake).
• Understanding of data integration patterns and ETL/ELT processes.
• Knowledge of data governance, data security, and data quality principles.
• Experience with BI tools (e.g., Sigma, Omni, Looker, Tableau) is a plus.
• Comfortable working in a startup or fast-paced environment.
• Strong attention to detail, passion for well-structured data and architecture.
• Proficiency in SQL and experience with cloud data platforms.
• At least Upper-Intermediate English; fluent in Ukrainian.

We offer:

• Friendly and supportive work environment.
• Competitive salary and benefits package.
• Room for personal and professional growth.