Lead Data Architect

Lead the technical vision and strategy for the Data Engineering Center of Excellence across cloud platforms
(GCP Azure AWS) cloud-agnostic platforms (Databricks Snowflake) and legacy systems. This leadership role
will establish architectural standards and best practices while providing pre-sales leadership for strategic
opportunities.
Key Responsibilities
Define and drive the technical vision and roadmap for the Data Engineering CoE
Establish cross-cloud architecture standards and best practices with emphasis on Azure GCP and AWS
Lead pre-sales activities for strategic opportunities particularly AWS Azure GCP-focused clients
Build the CoEs accelerator development framework
Mentor and guide pillar architects across all platforms
Drive platform selection decisions and integration strategies
Establish partnerships with key technology providers especially Cloud
Define governance models for the CoE implementation
Represent the organization as a technical thought leader in client engagements

Qualifications :

12 years of data engineering experience with 6 years in leadership roles
Deep expertise in Google Cloud Platform data services (BigQuery Dataflow Dataproc)
Strong knowledge of other cloud platforms (Azure Fabric/Synpase Data Factory AWS)
Extensive experience with modern data architecture patterns and frameworks
Proven track record of leading complex data platform implementations
Strong understanding of data governance security and compliance requirements
Experience building reusable frameworks and accelerators
Excellent communication and stakeholder management skills
Google Cloud Professional Data Engineer certification preferred
Additional certifications in other cloud platforms (Azure AWS) beneficial

Additional Information :

Cloud Platforms: GCP (BigQuery Dataflow Dataproc) Azure (Synapse ADF Databricks) AWS (Redshift
Glue EMR)
Data Processing: Spark Hadoop Beam Flink
Data Warehousing: BigQuery Snowflake Synapse Analytics Redshift
Data Lake Technologies: GCS ADLS Gen2 S3 Delta Lake Iceberg
Orchestration: Cloud Composer Airflow Azure Data Factory AWS Step Functions
Languages: Python SQL Scala Java
Infrastructure as Code: Terraform Pulumi Bicep CloudFormation
DevOps: GitHub Actions Azure DevOps GCP Cloud Build AWS CodePipeline
Data Modeling: dbt Dataform Looker
Certifications: GCP Professional Data Engineer Azure Data Engineer AWS Data Analytics

Impact Expectations
Establish the technical foundation for the CoE within the first 90 days
Support pre-sales activities for a pipeline
Define and initiate development of 3-5 key accelerators for common data engineering patterns
Build credibility with strategic clients as a trusted technical advisor

Remote Work :

Yes

Employment Type :

Full-time