Senior Director, Data Engineering and Architecture

BCD Meetings & Events is a meetings and events agency that combines human expertise, innovation, and responsible AI to deliver successful experiences and business outcomes. The Senior Director, Data Engineering and Architecture will lead the strategy, design, modernization, and delivery of cloud-based enterprise data platforms across AWS and Azure, while guiding architecture, engineering teams, governance, and transformation initiatives.

Responsibilities:

• Leading enterprise data engineering and architecture with a balance of strategic vision and hands-on technical depth
• Building scalable, cloud-native data platforms across AWS and Azure, including batch, streaming, and real-time workloads
• Writing and guiding development in Python, SQL, Spark, and PySpark to deliver reliable, high-performing data solutions
• Establishing strong standards for data modeling, governance, observability, security, performance, and lifecycle management
• Partnering across technical and business teams, mentoring distributed teams, and translating complex technical concepts into clear business value
• Experience modernizing legacy platforms and leading cloud migration efforts across hybrid and multi-cloud environments
• Strong knowledge of AWS services such as Amazon S3, Glacier, Glue, Redshift, Redshift Spectrum, and Kinesis, as well as Azure services such as Azure Data Lake Storage, Data Factory, Synapse Analytics, Event Hubs, and Databricks
• A background in DataOps, CI/CD, Git, automated testing, and infrastructure as code using Terraform, Bicep, or CloudFormation
• Experience leading architecture reviews, prototyping solutions, troubleshooting issues, and improving platform reliability and cost efficiency
• A leadership style that fosters accountability, collaboration, and continuous improvement across onshore and offshore teams

Requirements:

• Leading enterprise data engineering and architecture with a balance of strategic vision and hands-on technical depth
• Building scalable, cloud-native data platforms across AWS and Azure, including batch, streaming, and real-time workloads
• Writing and guiding development in Python, SQL, Spark, and PySpark to deliver reliable, high-performing data solutions
• Establishing strong standards for data modeling, governance, observability, security, performance, and lifecycle management
• Partnering across technical and business teams, mentoring distributed teams, and translating complex technical concepts into clear business value
• Experience modernizing legacy platforms and leading cloud migration efforts across hybrid and multi-cloud environments
• Strong knowledge of AWS services such as Amazon S3, Glacier, Glue, Redshift, Redshift Spectrum, and Kinesis, as well as Azure services such as Azure Data Lake Storage, Data Factory, Synapse Analytics, Event Hubs, and Databricks
• A background in DataOps, CI/CD, Git, automated testing, and infrastructure as code using Terraform, Bicep, or CloudFormation
• Experience leading architecture reviews, prototyping solutions, troubleshooting issues, and improving platform reliability and cost efficiency
• A leadership style that fosters accountability, collaboration, and continuous improvement across onshore and offshore teams