Data Architect

TechTorch is a pioneer among service companies in the way it conducts projects in the area of digital transformation. Through an implementation process supported by an AI-powered platform and a global team of world-class managers and technology experts, TechTorch has enabled dozens of private equity sector companies to accelerate the realization of business benefits.

Position Overview: The Data Architect is responsible for designing, creating, deploying, and managing an organization’s data architecture. This role involves defining how the data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data. The Data Architect works closely with business and IT stakeholders to ensure that the data architecture aligns with business objectives and supports the needs of the organization.

Key Responsibilities:

Data Architecture Design:

• Develop and maintain the overall data architecture, including data models, data flow diagrams, and data integration plans.
• Define and document the data architecture framework, standards, and principles.
• Design scalable and flexible data solutions that meet the business requirements and integrate with existing systems.

Data Governance and Management:

• Establish and enforce data management and governance policies, procedures, and standards.
• Ensure data integrity, quality, and security across the organization.
• Define and manage data architecture principles and guidelines for data modeling, design, and implementation.

Data Integration:

• Design and oversee data integration processes, ensuring seamless data flow across various systems and platforms.
• Implement data integration solutions using ETL (Extract, Transform, Load) tools and other data integration technologies.
• Collaborate with application architects and developers to design and implement data interfaces and APIs.

Qualifications:

Experience:

• Minimum of 7 years of experience in data architecture, data management, or related roles.
• Proven experience in designing and implementing data solutions in complex environments.
• Strong background in data modeling, database design, and data warehousing.

Technical Skills:

• Proficiency in data modeling tools (e.g., ER/Studio, Erwin).
• Expertise in database technologies (e.g., SQL Server, Oracle, MySQL, NoSQL databases).
• Experience with data integration tools (e.g., Informatica, Snowflake, Talend, Apache Nifi).
• Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) and cloud data platforms (e.g., AWS, Azure, Google Cloud).
• Understanding of BI systems such as PowerBI and Tableaux

Key Competencies:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to lead and influence cross-functional teams.
• Strategic thinking with a focus on delivering business value.
• Adaptability and continuous learning mindset

What We Offer:

• Work in an international team
• Work with the largest capital groups in the world
• Development and rapid promotion opportunities
• Autonomy in action
• Participation in building a new global company
• Team-building activities