Data Architect

About the Role: The Lead AWS Data Engineer/Data Architect will drive the design, architecture, and implementation of enterprise data engineering solutions across the AWS ecosystem. This role combines hands-on technical leadership with architectural ownership, partnering closely with data architects, data scientists, product owners, and business stakeholders to build scalable, secure, and reliable data platforms. The Lead AWS Data Engineer/Data Architect will also mentor engineers, set engineering standards, and help shape the organization's data modernization and AI-readiness roadmap.

Key Responsibilities: Lead the design, architecture, and implementation of enterprise data engineering solutions across the AWS ecosystem Collaborate with Lead Developers, Data Scientists, Architects, Product Owners, and business stakeholders to define technical strategy and scalable solutions Provide technical leadership and mentorship to Data Engineers and development teams, promoting engineering excellence and best practices Drive key architectural decisions in partnership with Data Architects and Solution Architects to ensure scalability, security, reliability, and maintainability Design and oversee data warehouse and data lake solutions that balance business usability, performance, and long-term sustainability Establish engineering standards for data modeling, ETL frameworks, pipeline reliability, monitoring, and operational excellence Lead end-to-end solution delivery, ensuring alignment with business requirements, enterprise architecture standards, and regulatory requirements Oversee production support and operational management of AWS-based data platforms, driving root-cause analysis and performance optimization Champion data quality, governance, observability, and data stewardship practices across platforms and teams Identify opportunities to modernize data architecture and improve operational efficiency through automation and cloud-native technologies

Required Qualifications: 8+ years of experience in Data Engineering, including 5+ years working extensively within AWS ecosystems Expert-level experience with AWS services including S3, EMR, Glue Jobs, Lambda, Athena, Cloud Trail, SNS, SQS, Cloud Watch, and Step Functions Strong experience designing and implementing enterprise-scale data lake and data warehouse solutions using Lake Formation, Amazon Redshift, and Amazon Athena Extensive experience with Kafka-based streaming architectures, preferably Confluent Kafka Advanced SQL and data modeling expertise, including dimensional modeling, data vault, and large-scale data warehousing Deep experience designing, developing, and optimizing scalable, resilient data pipelines within AWS environments Strong understanding of distributed data processing frameworks, particularly PySpark and EMRAdvanced Python development skills with extensive hands-on experience using PySpark Expertise in Infrastructure as Code using Terraform Experience designing and implementing CI/CD frameworks using Git Hub and Git Hub Actions Deep knowledge of AWS IAM roles, policies, governance, and security best practices Strong experience with workflow orchestration tools such as AWS Step Functions, Apache Airflow, or equivalent Experience leading cloud migration, modernization, and enterprise data platform initiatives Strong understanding of data governance, metadata management, data quality frameworks, and observability principles Experience building AI-ready data pipelines and ML workflows, including feature engineering and MLOps Knowledge of LLMs, RAG, and vector databases to support AI-powered applications and intelligent search

Preferred Qualifications: AWS Certified Data Engineer, AWS Solutions Architect, or equivalent cloud certification Experience implementing enterprise data governance and metadata management platforms Experience with real-time analytics, event-driven architectures, and streaming data platforms Knowledge of modern data architecture patterns including Data Mesh, Lakehouse, and domain-oriented design Experience leading large-scale cloud transformation or enterprise data modernization programs Experience creating AI applications with AWS Bedrock