AWS Data Architect – Enterprise Data & Analytics

We are looking for an experienced AWS Data Architect to lead the design, governance, and evolution of enterprise data platforms and analytics solutions on AWS. This role is ideal for someone who can translate complex business requirements into scalable data architectures while driving best practices across data engineering, analytics, governance, and cloud platforms. Key Responsibilities Enterprise Data Architecture • Design and maintain enterprise-wide data architecture standards and frameworks. • Develop conceptual, logical, and physical data models. • Define canonical data models across multiple business domains. • Partner with business stakeholders to establish data definitions, KPIs, and governance standards. • Lead architecture reviews and provide technical leadership across teams. Analytics & Data Modeling • Design scalable dimensional models for reporting and analytics. • Build fact and dimension models using Kimball methodologies. • Implement Slowly Changing Dimensions (SCD Type 1, 2, and 3). • Create semantic layers that support self-service analytics and reporting. Master Data Management • Design Customer 360 and Master Data Management (MDM) solutions. • Define identity resolution, matching, and survivorship strategies. • Establish data stewardship and governance frameworks. AWS Data Platform Architecture • Architect cloud-native data platforms using AWS services. • Design modern lakehouse solutions supporting batch and real-time workloads. • Define ingestion, transformation, storage, and consumption patterns. • Optimize platform scalability, reliability, security, and cost. Data Engineering & Integration • Guide teams in building scalable ETL/ELT frameworks. • Design batch and streaming data pipelines. • Implement CDC-based integration strategies. • Establish data quality and engineering standards. Governance, Security & Compliance • Implement enterprise data governance frameworks. • Define lineage, metadata management, and data quality standards. • Ensure compliance with privacy and security requirements. Required Skills Data Architecture & Modeling • Enterprise Data Modeling • Conceptual, Logical & Physical Data Models • Canonical Data Modeling • Metadata Management • Data Lineage Analytics & MDM • Kimball Methodology • Star & Snowflake Schema Design • Fact and Dimension Modeling • Master Data Management (MDM) • Customer 360 AWS Technologies • Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • AWS Kinesis • AWS MWAA (Airflow) Data Engineering • SQL • Python • PySpark • Apache Spark • dbt • CDC Patterns Integration & Streaming • Apache Kafka • AWS Kinesis • REST APIs • Event-Driven Architecture DevOps & Infrastructure • Terraform • CloudFormation • Jenkins • GitHub Actions • CloudWatch Qualifications • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field. • 8+ years of experience in Data Architecture, Data Engineering, or Analytics Architecture. • Strong experience with AWS data and analytics services. • Proven expertise in enterprise data modeling and modern cloud data platforms. • Excellent communication and stakeholder management skills. Preferred • AWS Certifications. • Experience with Customer 360 and MDM initiatives. • Experience in Sports, Media, Entertainment, Gaming, or Digital Product organizations. • Experience with modern lakehouse technologies such as Apache Iceberg, Hudi, or Delta Lake.