Data Architect – AWS

We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.

Responsibilities

Define and own enterprise-wide data architecture strategy and roadmap; Architect scalable, secure, high-performance batch and real-time data platforms on AWS; Design modern data lake, data warehouse, and lakehouse architectures; Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks; Architect data warehousing solutions using Amazon Redshift; Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches); Define governance, cataloging, lineage, and access control frameworks using AWS DataZone; Lead architecture governance forums and conduct design reviews; Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization; Define security architecture aligned with enterprise compliance standards; Provide technical leadership and mentorship to Data Engineers and Technical Leads; Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals; Drive innovation and evaluation of emerging data technologies

Requirements

12+ years of experience in Data Engineering / Data Architecture; Extensive experience designing enterprise-scale data platforms on AWS; Strong expertise in: AWS Glue; Amazon EMR (Spark); AWS Lambda; Apache Airflow (MWAA); Amazon Redshift; Amazon S3; Amazon DynamoDB; AWS DataZone; Amazon CloudWatch; Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault); Experience designing enterprise data lake, warehouse, and lakehouse ecosystems; Strong knowledge of data governance, metadata management, and data security frameworks; Advanced SQL and strong Python expertise; Experience defining architecture principles, standards, and enterprise roadmaps; Strong stakeholder management and cross-functional leadership skills; Experience leading large data engineering teams; Experience working in Agile / SAFe delivery models

Nice to have

AWS Certified Solutions Architect – Professional; AWS Data Analytics Specialty Certification; Experience with streaming technologies (Kinesis, Kafka); Exposure to multi-cloud or hybrid architectures; Experience leading enterprise data transformation programs