AWS Data Architect

Job Description

AWS Data Engineer/Architect (Technical Lead)

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📌 Role Overview

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We are seeking an experienced AWS Data engineer with strong technical leadership skills to design, implement, and optimize modern data platforms. The ideal candidate will have hands-on expertise with Apache Iceberg, AWS Glue, Amazon EMR, and Amazon Aurora, and will lead cross-functional teams in building scalable, secure, and high-performance data solutions.

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🎯 Key Responsibilities

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• Data Architecture Design: Define and implement end-to-end data architecture leveraging AWS services, ensuring scalability, reliability, and cost efficiency.

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• Technical Leadership: Mentor engineers, set coding standards, and guide solution delivery across multiple projects.

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• AWS Glue & EMR: Build and optimize ETL pipelines, orchestrate big data workloads, and manage distributed processing frameworks.

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• Apache Iceberg: Implement Iceberg tables for large-scale analytics, ensuring schema evolution, partitioning, and performance tuning.

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• Amazon Aurora: Architect and optimize relational databases for transactional and analytical workloads.

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• Data Governance: Establish standards for data quality, lineage, and security compliance.

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• Cloud Cost Optimization: Monitor and optimize resource usage to balance performance and cost.

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• Collaboration: Partner with product managers, analysts, and business stakeholders to translate requirements into technical solutions.

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🛠 Required Skills & Experience

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• Proven experience as a Data Architect or Technical Lead in cloud-native environments.

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• Strong expertise in AWS Glue, EMR, Aurora, and Apache Iceberg.

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• Proficiency in SQL, Python, and Spark for data engineering.

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• Deep understanding of data modeling, warehousing, and distributed systems.

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• Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).

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• Excellent communication and leadership skills to drive technical discussions and decision-making.

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🌟 Preferred Qualifications

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• AWS Certified Solutions Architect or Data Analytics certification.

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• Experience with Lakehouse architectures and data mesh principles.

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• Knowledge of security best practices in cloud data platforms.

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