DES - DE - Lead – Data Architect

Lead the technical vision and strategy for the Data Engineering Center of Excellence across cloud platforms

GCP Azure AWS) cloudagnostic platforms (Databricks Snowflake) and legacy systems. This leadership role

will establish architectural standards and best practices while providing presales leadership for strategic

opportunities.

Key Responsibilities

Define and drive the technical vision and roadmap for the Data Engineering CoE

Establish crosscloud architecture standards and best practices with emphasis on Azure GCP and AWS

Lead presales activities for strategic opportunities particularly AWS Azure GCPfocused 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 presales activities for a pipeline

Define and initiate development of 35 key accelerators for common data engineering patterns

Build credibility with strategic clients as a trusted technical advisor

Remote Work : Employment Type :

Fulltime

Key Skills

Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia

Experience : years

Vacancy : 1