Senior Director, Data Engineering and Architecture

BCD

8d•$140,000 - $190,000•Remote

About The Position

This is a hands-on leadership role for someone who brings both technical depth and big-picture thinking — someone who enjoys solving complex challenges, building at scale, and helping teams turn ambitious ideas into secure, high-performing solutions. In this role, you will help shape the future of our data ecosystem by driving platform modernization, setting architectural direction, and leading engineering teams through meaningful transformation. You will work across technology and business teams to build scalable, reliable, and trusted data capabilities that make a real impact. If you are excited by cloud engineering, modern architecture, and the opportunity to create clarity from complexity, this is a role where you can do just that.

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

Nice To Haves

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

Responsibilities

Lead the strategy, design, and delivery of modern data platforms across AWS and Azure that power analytics, reporting, and smarter business decisions across the organization.
Drive platform modernization, set architectural direction, and lead engineering teams through meaningful transformation.
Work across technology and business teams to build scalable, reliable, and trusted data capabilities.
Establish strong standards for data modeling, governance, observability, security, performance, and lifecycle management.
Partner across technical and business teams, mentor distributed teams, and translate complex technical concepts into clear business value.
Lead architecture reviews, prototype solutions, troubleshoot issues, and improve platform reliability and cost efficiency.
Foster accountability, collaboration, and continuous improvement across onshore and offshore teams.