Product Solution Architect - AWS, Big Data, Python/Java/Scala

We are looking for an experienced and motivated Product Solution Architect with deep expertise in designing and implementing cutting-edge big-data solutions on the Amazon Web Services (AWS) platform. As a key member of our dynamic team, you will play an integral role in driving the success of our data-driven initiatives, utilizing AWS services to build scalable, reliable, and high-performance big-data solutions.

Key Responsibilities:

• Solution Design: Collaborate with cross-functional teams including product managers, engineers, and data scientists to understand business requirements and transform them into innovative big-data solutions on AWS.
• Architecture Development: Design and implement robust, cost-effective, and well-architected AWS-based big-data solutions, adhering to industry best practices. Leverage AWS services such as Amazon S3, EMR, Glue, Redshift, DynamoDB, and more.
• Technology Evaluation: Stay current with the latest AWS services and big-data technologies. Evaluate and recommend tools and technologies to enhance data processing, storage, and analytics capabilities.
• Implementation Deployment: Lead the technical implementation of big-data solutions on AWS, owning the full development lifecycle from prototyping to production deployment.
• Performance Optimization: Identify and resolve performance bottlenecks to ensure that big-data solutions are optimized for scalability, reliability, and cost-efficiency.
• Security Compliance: Ensure solutions comply with stringent security and compliance standards, safeguarding sensitive data and adhering to industry regulations.
• Collaboration Communication: Engage with stakeholders to understand their needs, provide technical guidance, and communicate complex concepts in a clear and understandable manner.
• Troubleshooting Support: Assist in troubleshooting technical issues related to big-data solutions, providing timely support to ensure system uptime and reliability.
• AWS Ecosystem Expertise: Strong familiarity with the AWS ecosystem, including services like Sagemaker, Glue, Athena, Lambda, and training/processing jobs, to streamline data workflows.

Technical Expertise:

• Hands-on experience with tools and technologies such as Glue, Glue Catalog, Crawler, Lambda, Airflow, IAM, S3, Athena, Redshift, Python, PySpark, SQL, DynamoDB.
• Strong understanding of data transformation techniques, version control (GIT/Bit Bucket), and data processing pipelines.
• Provide technical leadership to the data engineering team, mentor junior engineers, and foster a collaborative, innovative environment.
• Ensure high-quality data management across the entire data pipeline, including data quality, consistency, and accuracy.
• Implement and enforce data security measures and compliance standards.
• Maintain comprehensive documentation for data engineering processes, data models, and system architecture.

Basic Qualifications:

• Education: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
• Experience: Proven experience as a Solution Architect or similar role with a focus on big-data solutions on AWS.
• AWS Expertise: Deep knowledge of AWS services relevant to big-data, including but not limited to Amazon S3, EMR, Glue, Sagemaker, Redshift, Athena, DynamoDB.
• Technical Skills: Proficiency in data modeling, data warehousing, and data integration concepts. Hands-on experience with Python, Java, or Scala for big-data processing and analytics.
• Big-Data Frameworks: Familiarity with big-data processing frameworks such as Apache Spark, Hadoop, Apache Flink.
• Security Compliance: Solid understanding of data security, encryption, and best practices for compliance on AWS.
• Problem Solving: Strong problem-solving skills with the ability to tackle complex technical challenges.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.