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Lead Solutions Architect at EXL | JobVerse
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Lead Solutions Architect
EXL
Website
LinkedIn
Lead Solutions Architect
United States
Full Time
2 hours ago
No H1B
Apply Now
Key skills
Amazon Redshift
AWS
Azure
Cloud
EC2
ETL
PySpark
Python
Spark
SQL
Terraform
Unity
MLOps
MLflow
ELT
Data Engineering
Data Lake
Analytics
Redshift
Databricks
CloudFormation
Lambda
S3
IAM
Glue
Kinesis
Azure DevOps
GitOps
CI/CD
Leadership
About this role
Role Overview
Architect and design enterprise-grade cloud solutions leveraging AWS services (EC2, S3, Glue, Lambda, Kinesis, IAM, Redshift, EMR).
Design Databricks Lakehouse solutions including Delta Lake, Unity Catalog, Spark optimization, governance, and MLOps patterns.
Build scalable ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
Develop high-level and low-level architecture blueprints ensuring security, compliance, cost efficiency, reliability, and performance.
(Preferred) Architect cloud/on-prem hybrid data platforms using Azure services such as Azure Data Lake, ADF, Azure Databricks, Synapse, etc.
Lead requirement discovery, translate business needs into robust architectural designs and roadmaps.
Create HLDs, LLDs, data flow diagrams, integration patterns, deployment models, and security reference architectures.
Oversee end-to-end delivery, guiding engineering and DevOps teams through implementation and optimization.
Perform architecture assessments and recommend improvements for scalability, resilience, and cost savings.
Provide thought leadership and hands-on direction to data engineering, analytics, DevOps, and platform teams.
Establish best practices for coding, data governance, CI/CD, infrastructure automation, and environment management.
Introduce and evaluate emerging cloud technologies, tools, and frameworks relevant to analytics and modern data platforms.
Act as technical SME for client conversations, workshops, and executive presentations.
Communicate complex architectural concepts clearly to both technical and non-technical audiences.
Partner closely with business stakeholders to define solution vision, roadmap, and success metrics.
Requirements
12–15 years of overall IT experience with strong focus on cloud, data engineering, and enterprise architecture.
5+ years of hands-on experience architecting production solutions on AWS.
3+ years’ strong experience in Databricks (Spark, Delta Lake, MLflow, Unity Catalog).
Proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
Deep understanding of data modeling, data governance, metadata management, and modern security practices.
Experience with CI/CD pipelines, Terraform / CloudFormation, GitOps, and end-to-end automation.
Strong knowledge of cloud networking, VPCs, IAM, encryption, identity governance, and security frameworks (NIST, CIS benchmarks).
(Preferred) Experience with Azure cloud architecture, including Azure Databricks, ADF, ADLS, Synapse, and Azure DevOps.
Tech Stack
Amazon Redshift
AWS
Azure
Cloud
EC2
ETL
PySpark
Python
Spark
SQL
Terraform
Unity
Benefits
Health insurance
Retirement plans
Paid time off
Apply Now
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