Commercial Solution Architect responsible for sales execution and engagement for Digital Benefit Solutions in a SaaS company. Collaborating closely with Client Success and Sales teams to drive adoption and revenue.
About the role
- Lead Solution Architect at EXL Service designing enterprise cloud and data architectures. Shaping cloud strategy and guiding teams on AWS and Databricks solutions.
Responsibilities
- 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.
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