
High-Performance Big Data Architect
1 day ago
About the Position: We are seeking a highly skilled Big Data Architect to design and implement large-scale data platforms on AWS. The ideal candidate will have strong expertise in Big Data technologies, cloud-native architecture, and hands-on experience building scalable, secure, and high-performance data solutions.
- Key Responsibilities:
- Create end-to-end Big Data solutions on AWS, including data lakes, data warehouses, and streaming pipelines.
- Develop ETL/ELT pipelines for batch and real-time processing.
- Optimize data storage, processing, and querying for performance and cost efficiency.
- Define data modeling, metadata management, and governance standards.
- Ensure security, compliance, and high availability of all data solutions.
- Prepare architecture diagrams, design documents, and technical blueprints for stakeholders.
- Leadership & Collaboration:
- Mentor and guide a team of Big Data engineers.
- Collaborate with architects, data scientists, and business stakeholders to deliver data-driven solutions.
- Evaluate emerging technologies and recommend innovative solutions to support business growth.
- Mandatory Skills:
- Strong experience in AWS Services: S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda, DynamoDB.
- Proficiency with Big Data frameworks: Spark, Hadoop, Hive, Kafka.
- Programming skills in Python, SQL, Java/Scala.
- Expertise in data lake & data warehouse architecture, ETL/ELT pipelines, data modeling.
- Knowledge of security, IAM, encryption, VPC design, compliance frameworks (GDPR/HIPAA).
- Strong experience in solution architecture, system design, integration.
- Leadership skills mentoring teams and managing stakeholders.
- AWS Certifications preferred (Solutions Architect Professional, Big Data Specialty).
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