Solution Director
HCLTech
Santa Clara, California, United StatesPosted about 2 months agoDiscoveredMatch locked
Full-time10+ years exp
Experience
•
17–23 years
of overall experience in Data Engineering, Analytics, or Cloud Platforms.
•
10+ years of customer-facing leadership experience
in enterprise environments.
- Proven experience in
handling teams of 100+ people
.
- Experience working in
global delivery models
, including offshore teams.
Technical Leadership & Architecture
- Provide
end-to-end technical leadership
for enterprise-scale data platforms across
GCP and Azure
Data ecosystems.
- Architect and govern modern data platforms including
Lakehouse, Data Mesh, Data Fabric
, and advanced analytics architectures.
- Lead solution design using technologies such as:
•
Google Cloud
: BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Vertex AI
•
Microsoft Azure
: Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake, Fabric, Power BI
- Drive adoption of
best practices in Data Engineering, DataOps, MLOps, security, and governance
.
- Review and approve architecture designs, ensuring scalability, performance, cost optimization, and compliance.
People & Organization Leadership
- Build, lead, and scale
large teams of 100+ data engineers, architects, and leads
across onshore/offshore models.
- Establish strong execution culture with focus on
quality, velocity, and innovation
.
- Mentor senior technical leaders and create succession pipelines.
Communication & Leadership (Must Have)
•
Excellent communication and executive presentation skills
.
- Ability to
articulate complex technical concepts to non-technical stakeholders
.
- Strong written and verbal communication for proposals, presentations, and strategy documents.
Communication & Leadership (Must Have)
•
Excellent communication and executive presentation skills
.
- Ability to
articulate complex technical concepts to non-technical stakeholders
.
- Strong written and verbal communication for proposals, presentations, and strategy documents.
Skill Requirements
- Provide
end-to-end technical leadership
for enterprise-scale data platforms across
GCP and Azure
Data ecosystems.
- Architect and govern modern data platforms including
Lakehouse, Data Mesh, Data Fabric
, and advanced analytics architectures.
- Lead solution design using technologies such as:
•
Google Cloud
: BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Vertex AI
•
Microsoft Azure
: Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake, Fabric, Power BI
- Drive adoption of
best practices in Data Engineering, DataOps, MLOps, security, and governance
.
- Review and approve architecture designs, ensuring scalability, performance, cost optimization, and compliance.
Other Requirements
null
Not included in the source posting: what you'll do, benefits.
Skills
azuregcpartificial-intelligencebigquerydatabricksmlopspower-bi
Who can apply
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