Data Architect

Overview 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. Experience 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. Job Responsibilities 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 Company Benefits PAC Apply Upload Your CV Drag and drop a file here or click First Name * Contact Number * I confirm that I consent to my personal data being stored securely in your database and to being contacted regarding the job I am applying for, as well as any other relevant positions that match my profile, in accordance with GDPR regulations. I confirm that I have read, understood, and agree to comply with the company terms and conditions. I confirm that I have read and agree to my data being held and processed in accordance with companies Privacy Policy. #J-18808-Ljbffr