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Data Platform Architect
Teliolabs Communication Private LimitedDubai, Dubai, United Arab Emiratesمنذ أكثر من 30 يومًا
الوصف الوظيفي15+ years of experience in data engineering, data architecture, and cloud-based platforms. Expertise in AWS Cloud Services and hands-on experience with data storage, compute, and analytics tools. Strong ETL and Data Processing Knowledge , including batch and real-time data streaming. Proficiency in Open-Source Tools like Apache Spark, Hadoop, Airflow, Kafka, Flink, and Presto. Deep Understanding of AI & ML Workflows and their integration with data platforms. Proven Experience in Data Migration Strategies from on-premises to cloud. Expertise in Data Schema Design, Modeling, and Optimization for relational and NoSQL databases. Solid Programming Skills in Python, SQL, and Spark. Strong Problem-Solving Abilities with an analytical and strategic mindset. Excellent Leadership and Communication Skills , capable of working with technical and business stakeholders. AWS Certified Solutions Architect or AWS Certified Data Analytics Certification. Experience working in AI-driven data platforms or MLOps environments . Familiarity with Kubernetes, Docker , and CI / CD pipelines for data workflows. Work with cutting-edge technologies in data and AI. Influence key architectural decisions and drive innovation. Competitive compensation and benefits package. A collaborative and high-performing team environment.
Job Type : Contract
Experience : Minimum 15+ years
Job Summary :
We are seeking a highly experienced Data Platform Architect to design and build scalable, high-performance data platforms. The ideal candidate should have a strong background in AWS and other Public cloud services, data engineering, AI platform development, data integrity, and schema design. The role demands expertise in ETL techniques, open-source tools, data migration, and enterprise data architecture.
Key Responsibilities :
- Architect and Design scalable and secure data platforms, ensuring high availability and performance.
- Develop and Optimize data pipelines and ETL processes using modern frameworks and methodologies.
- Implement AI & ML Platforms , ensuring seamless integration with enterprise data ecosystems.
- Ensure Data Integrity & Governance by enforcing best practices for security, compliance, and quality.
- Oversee Data Migration strategies and execution from legacy to modern cloud-based architectures.
- Leverage AWS Services , including but not limited to S3, Redshift, Glue, EMR, Athena, Lambda, DynamoDB, and Kinesis.
- Lead Open Source Adoption , integrating tools like Apache Spark, Airflow, Kafka, and Flink for data processing.
- Collaborate with Cross-Functional Teams including Data Engineers, Data Scientists, and DevOps to streamline data workflows.
- Monitor Performance & Scalability , proactively addressing bottlenecks in data processing and analytics.
- Establish Best Practices for data modeling, schema design, and data architecture across various domains.
- Mentor and Guide engineering teams to enhance data capabilities within the organization.
Required Skills & Qualifications :
Tools : Apache NiFi, Talend, Informatica PowerCenter, AWS Glue, Microsoft SSIS, Matillion, Fivetran, Stitch, dbt (data build tool)
Preferred Qualifications :
Why Join Us?
If you are passionate about data platforms and have a strong technical foundation, we invite you to apply and be part of our growing team!
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