Data Architect

At TechDelivery, we are partnering with a global tech-driven company to hire a Senior Data Architect who will play a key role in designing, optimizing, and scaling modern data platforms and pipelines. This position is ideal for a data architecture expert with deep cloud knowledge and strong business alignment. You'll work closely with international stakeholders to define and implement robust data strategies that drive innovation and decision-making., * Design, develop, and maintain scalable, secure, and high-performance data architectures aligned with business objectives.

• Lead the creation and documentation of conceptual, logical, and physical data models to support analytical and operational needs.
• Define and implement data governance policies, standards, and best practices to ensure data quality, security, and compliance.
• Oversee the integration of diverse data sources, including cloud services, on-premises systems, APIs, and event streams.
• Collaborate closely with Data Engineering, BI, Machine Learning, Product, and Security teams to deliver end-to-end data solutions.
• Evaluate, select, and recommend new technologies, tools, and frameworks to enhance the data platform and infrastructure.
• Provide technical leadership and mentorship to junior and mid-level engineers, fostering knowledge sharing and best practices.
• Ensure documentation and communication of architecture decisions and roadmaps to both technical and non-technical stakeholders.
• Monitor and optimize data platform performance, scalability, and reliability to support business growth.
• Participate actively in strategic planning and continuous improvement initiatives related to data strategy and infrastructure.
• Global Projects: Collaborate with international teams and clients on large-scale data platforms.
• Technical Leadership: Be part of strategic decisions and high-impact architectural initiatives.
• Tech-Driven Culture: Work in an environment that values clean architecture, innovation, and engineering excellence.
• Strong Team Culture: Collaborative, senior-level team focused on knowledge sharing and continuous improvement.

Desired Skills

• Kafka
• Pub/Sub
• Kinesis
• event-driven architecture
• Collibra
• Alation
• DataHub
• Terraform
• Infrastructure as Code
• real-time analytics
• data mesh
• domain-oriented data architecture
• regulated industries
• finance
• telco
• AWS certification
• GCP certification
• BI tools
• Power BI
• Looker
• Tableau

• 7+ years of experience in data engineering, data architecture, or related roles in enterprise or large-scale environments.
• 3+ years designing and implementing cloud-based data architectures using AWS, Azure, or GCP.
• Proven track record in building and optimizing data lakes, lakehouses, and data warehouses in production.
• Hands-on experience with ETL/ELT pipelines and orchestration tools such as Apache Airflow, dbt, Talend, or similar.
• Solid background in SQL and Python for data transformation, modeling, and automation.
• Experience working with modern data platforms such as Snowflake, BigQuery, Redshift, or similar.
• Strong knowledge of data modeling (conceptual, logical, physical) and data governance frameworks, including MDM, data quality, lineage, and cataloging.
• Demonstrated ability to lead architecture decisions, engage with business stakeholders, and mentor technical teams.
• Comfortable working in distributed, cross-functional teams, communicating in English (C1+) in international settings.