Data Platform Architect

2 weeks ago


Dubai, United Arab Emirates Teliolabs Communication Private Limited Full time

Overview Job Type: Contract Experience: Minimum 15+ years 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. 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 - 15+ 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. - Tools: Apache NiFi, Talend, Informatica PowerCenter, AWS Glue, Microsoft SSIS, Matillion, Fivetran, Stitch, dbt (data build tool) - 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. Tools Tools: Apache NiFi, Talend, Informatica PowerCenter, AWS Glue, Microsoft SSIS, Matillion, Fivetran, Stitch, dbt (data build tool) Preferred Qualifications - 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. Why Join Us? - 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. 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 #J-18808-Ljbffr



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