Lead Solution Cloud Architect – Data & Cloud Platforms
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EXL is seeking a Lead Solution Cloud Architect to design, deliver, and oversee enterprise-scale cloud and data platform solutions for clients. This is a senior consulting role, combining solution architecture, hands-on delivery, and client engagement. You will guide engineering teams, advise stakeholders, and ensure solutions meet scalability, security, performance, and cost standards. We are looking for an architect who thrives in client-facing consulting engagements, stays hands-on with technology, and partners closely with engineering teams to deliver modern data platforms.
Key Responsibilities:
- Solution Architecture & Consulting
- Lead solution discovery and architecture design for client engagements
- Translate business requirements into scalable, end-to-end technical solutions
- Define architectures across data ingestion, processing, storage, analytics, and integration layers
- Conduct architecture workshops, design reviews, and technical presentations with clients
- Ensure solutions meet enterprise standards, security, and governance policies
- Cloud & Data Platform Architecture
- Architect enterprise-grade AWS cloud solutions (EC2, S3, Glue, Lambda, Kinesis, IAM, Redshift, EMR)
- Design Databricks Lakehouse solutions (Delta Lake, Unity Catalog, Spark optimization, MLOps)
- Build scalable ETL/ELT pipelines and streaming architectures
- Define reusable patterns and best practices for modern cloud platforms(Preferred) Architect Azure hybrid cloud solutions (Azure Databricks, ADLS, ADF, Synapse)
- Delivery Leadership
- Lead end-to-end delivery of cloud data platforms across consulting engagements
- Partner with data engineering and DevOps teams to ensure successful implementation
- Guide technical teams through architecture decisions, design reviews, and complex problem resolution
- Drive continuous improvement and optimization of client solutions
- Technical Leadership
- Provide guidance to engineering and analytics teams on best practices
- Establish standards for data governance, CI/CD, automation, and security
- Evaluate emerging cloud technologies and frameworks relevant to analytics and data platforms
- Required Skills & Experience8–15 years of IT experience with strong focus on cloud, data engineering, and enterprise architecture 5+ years hands-on experience architecting production solutions on AWS3+ years strong experience in Databricks (Spark, Delta Lake, MLflow, Unity Catalog)
- Proficiency in Python, SQL, PySpark, and distributed data frameworks
- Deep understanding of data modeling, governance, metadata management, and modern security practices
- Experience with CI/CD pipelines, Terraform / Cloud
- Formation, GitOps, and end-to-end automation
- Strong knowledge of cloud networking, VPCs, IAM, encryption, and security frameworks
Preferred Skills:
Experience with Azure cloud services (Azure Databricks, ADLS, Synapse, ADF, Azure DevOps) Experience with real-time or streaming data architectures Exposure to financial services or enterprise-scale analytics consulting engagements Technology StackAWS
- Databricks
- Spark
- Delta Lake
- Python
- PySpark
- SQL
- Kinesis
- Glue
- Terraform
- CI/CD
Salary:
$120,000 - $170,000 per year, commensurate with experience. This range is provided as a general guideline and may vary based on qualifications, skills, and location.
Base Salary Range Disclaimer:
The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits. To view our total rewards offered click here —> https://www.exlservice.com/us-careers-and-benefits