Required Skills
AWS
Azure
GCP
cloud data architecture
data modeling
conceptual data models
logical data models
physical data models
ETL
ELT
data pipelines
Apache Airflow
dbt
Talend
Informatica
SQL
Python
Snowflake
BigQuery
Redshift
data warehousing
data lakehouse
MDM
data governance
data quality
metadata management
data lineage
GDPR
HIPAA
Docker
GitHub Actions
GitLab CI
Terraform
CI/CD
technical leadership
stakeholder communication
English C1
distributed teams
Job Summary
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.
Job Benefits
- Competitive Salary.
- Hybrid work model.
- 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
streaming data
real-time analytics
data mesh
domain-oriented data architecture
regulated industries
finance
healthcare
telco
AWS certification
Azure certification
GCP certification
BI tools
Power BI
Looker
Tableau
Kubernetes
Company Benefits
- PAC
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