Senior Data Architect

About the Role We're partnering with an innovative video streaming company that delivers content to millions of viewers across live and on-demand platforms. As the business continues to scale globally, they're looking for a Senior Data Architect to lead the design and evolution of a modern cloud-based data platform built on AWS. You'll play a key role in defining enterprise data architecture, enabling real-time analytics, machine learning, content intelligence, and customer insights that improve the viewing experience. What You'll Do: • Design and own the enterprise data architecture for large-scale streaming and media platforms. • Build scalable, secure, and cost-efficient data solutions using AWS services. • Define data models, governance standards, and architectural best practices across the business. • Design batch and real-time data pipelines supporting viewer analytics, content recommendations, advertising, and operational reporting. • Lead cloud migration and modernization initiatives from legacy platforms to AWS. • Work closely with Data Engineering, Machine Learning Engineering, Product, and Platform teams to deliver high-quality data products. • Establish data governance, metadata management, lineage, and security frameworks. • Drive architectural decisions around data lakes, lakehouses, and data warehouses. • Mentor engineers and provide technical leadership across multiple projects. • Evaluate emerging cloud technologies and recommend improvements to the existing architecture. What We're Looking For: • 8+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platform design. • Extensive hands-on experience designing cloud-native data platforms on AWS. • Strong expertise with: • AWS Glue • Amazon S3 • Amazon Redshift • AWS Lambda • Amazon EMR • Amazon Kinesis • Strong SQL skills and experience designing relational and dimensional data models. • Experience building modern data lakes and lakehouse architectures. • Experience with ETL/ELT frameworks and orchestration tools. • Knowledge of streaming data technologies and event-driven architectures. • Experience working with Infrastructure as Code (Terraform or CloudFormation). • Strong understanding of data governance, data quality, and master data management. • Excellent stakeholder management and communication skills. Nice to Have: • Experience within video streaming, OTT, broadcast, or digital media. • Experience supporting recommendation engines or personalization platforms. • Familiarity with Apache Spark, Kafka, Iceberg, or Delta Lake. • Experience with Databricks or Snowflake. • Knowledge of CI/CD pipelines and DevOps practices. • AWS Professional or Specialty certifications.