This role is for one of the Weekday's clients
Salary range: ₹350 - 500 LPA
Min Experience: 8 years
Location: Belgium
JobType: full-time
We are seeking an experienced and innovative Data Architect to lead the design and implementation of scalable, secure, and high-performance data architectures. In this role, you will work at the intersection of business strategy and technology, helping the organization harness the power of data using modern cloud platforms such as AWS and Microsoft Azure. You will be responsible for architecting robust data pipelines, managing data lakes and warehouses, and ensuring efficient ETL processes to support advanced analytics and AI/ML initiatives, including integration with AWS Bedrock.
Requirements
Key Responsibilities:
- Design, develop, and maintain enterprise-level data architectures on AWS and Azure, ensuring scalability, performance, and security.
- Lead the implementation of ETL frameworks to ingest, transform, and load large volumes of structured and unstructured data from diverse sources.
- Leverage AWS Bedrock to enable seamless integration of generative AI capabilities into data-driven applications.
- Define and enforce data governance, data quality, and metadata management standards across the organization.
- Partner with business and analytics teams to translate data requirements into scalable data models and pipelines.
- Evaluate, recommend, and implement new data technologies and tools to improve platform efficiency.
- Collaborate with DevOps and cloud infrastructure teams to ensure data architecture aligns with enterprise cloud strategy and performance goals.
- Provide mentorship and technical leadership to data engineers, analysts, and other stakeholders in data best practices.
Required Skills and Qualifications:
- 8–12 years of hands-on experience in data architecture, data engineering, or related roles in enterprise environments.
- Deep expertise in cloud platforms — specifically AWS (S3, Redshift, Glue, Lambda, Bedrock) and Microsoft Azure (Data Factory, Azure SQL, Synapse, Blob Storage).
- Proven experience building ETL/ELT pipelines using tools such as Apache NiFi, Talend, AWS Glue, or Azure Data Factory.
- Strong proficiency in data modeling, data warehousing, and real-time streaming technologies.
- Hands-on experience with AI/ML integration, especially utilizing AWS Bedrock or similar foundation model services.
- Proficient in SQL, Python, and/or Scala with experience in distributed data processing (e.g., Apache Spark, EMR, Databricks).
- Strong understanding of data governance, security, and compliance (GDPR, HIPAA, etc.).
- Experience working in Agile environments and collaborating with cross-functional teams.
- Excellent problem-solving skills and ability to translate complex technical concepts into clear business terms.
Preferred Qualifications:
- AWS Certified Solutions Architect or Microsoft Azure Data Engineer certification.
- Experience in MLOps or deploying AI/ML pipelines in cloud-native environments.
- Familiarity with data visualization tools like Power BI or Tableau.
Why Join Us:
- Opportunity to work on cutting-edge technologies including generative AI and cloud-native platforms.
- A collaborative and fast-paced environment that encourages innovation.
- Competitive salary, flexible work arrangements, and professional development opportunities.