Data Platform Architect

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, Dynamo DB, 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 Dev Ops 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 Ni Fi, Talend, Informatica Power Center, 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 No SQL 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.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