Solution Architect Product Solution Architect

As a Solution Architect for Product Solution Architect, your role involves designing and architecting end-to-end big data solutions on AWS aligned with best practices. You will collaborate with product, engineering, and business teams to translate requirements into technical solutions. It will be your responsibility to lead the implementation from design to production, ensuring performance, scalability, and cost optimization. Data security, compliance, quality, and governance across data pipelines will be areas you need to focus on. Additionally, you will mentor data engineers and provide technical leadership. Troubleshooting and supporting production data platforms will also be part of your duties. Key Responsibilities: - Design and architect end-to-end big data solutions on AWS aligned with best practices. - Collaborate with product, engineering, and business teams to translate requirements into technical solutions. - Lead implementation from design to production, ensuring performance, scalability, and cost optimization. - Ensure data security, compliance, quality, and governance across data pipelines. - Mentor data engineers and provide technical leadership. - Troubleshoot and support production data platforms. Required Skills: - Solid hands-on experience with AWS services: S3, Glue (Catalog, Crawlers), EMR, Redshift, Athena, DynamoDB, Lambda, IAM, SageMaker. - Experience with Airflow, Python, PySpark, and SQL. - Knowledge of Apache Spark / Hadoop and large-scale data transformations. - Experience with data modeling, data warehousing, and ETL/ELT pipelines. - Familiarity with Git / Bitbucket. Qualifications: - Bachelor's or Master's degree in Computer Science or related field. - Proven experience as a Solution Architect / Data Architect on AWS. - Robust understanding of AWS security, encryption, and compliance best practices. - Excellent problem-solving and communication skills. As a Solution Architect for Product Solution Architect, your role involves designing and architecting end-to-end big data solutions on AWS aligned with best practices. You will collaborate with product, engineering, and business teams to translate requirements into technical solutions. It will be your responsibility to lead the implementation from design to production, ensuring performance, scalability, and cost optimization. Data security, compliance, quality, and governance across data pipelines will be areas you need to focus on. Additionally, you will mentor data engineers and provide technical leadership. Troubleshooting and supporting production data platforms will also be part of your duties. Key Responsibilities: - Design and architect end-to-end big data solutions on AWS aligned with best practices. - Collaborate with product, engineering, and business teams to translate requirements into technical solutions. - Lead implementation from design to production, ensuring performance, scalability, and cost optimization. - Ensure data security, compliance, quality, and governance across data pipelines. - Mentor data engineers and provide technical leadership. - Troubleshoot and support production data platforms. Required Skills: - Solid hands-on experience with AWS services: S3, Glue (Catalog, Crawlers), EMR, Redshift, Athena, DynamoDB, Lambda, IAM, SageMaker. - Experience with Airflow, Python, PySpark, and SQL. - Knowledge of Apache Spark / Hadoop and large-scale data transformations. - Experience with data modeling, data warehousing, and ETL/ELT pipelines. - Familiarity with Git / Bitbucket. Qualifications: - Bachelor's or Master's degree in Computer Science or related field. - Proven experience as a Solution Architect / Data Architect on AWS. - Robust understanding of AWS security, encryption, and compliance best practices. - Excellent problem-solving and communication skills.