Resident Solution Architect
First seen by Alion on Oct 15, 2026.
Company Details : Our client is a Data & AI / Business Consulting company.
Designation : Resident Solution Architect - Databricks.
Job Location : Bangalore (Hybrid).
Role Overview :
We are looking for a Resident Solution Architect - Databricks with strong consulting, solution architecture, and enterprise Data & AI experience. The role involves designing and leading enterprise-scale data and AI solutions on the Databricks Lakehouse Platform, driving end-to-end Databricks implementations, and working closely with global enterprise customers to deliver scalable, secure, and high-performance data platforms.
Key Responsibilities :
- Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.
- Architect scalable, secure, and high-performance data platforms across AWS, Azure, and/or GCP.
- Define end-to-end solution architecture aligned with business and technical objectives.
- Lead end-to-end enterprise Databricks implementations from discovery through production deployment.
- Deliver large-scale production workloads with focus on scalability, reliability, and performance.
- Solve complex challenges involving distributed data processing, platform optimization, and cloud-native architectures.
- Develop and optimize enterprise data pipelines using Apache Spark and Databricks.
- Build scalable ETL/ELT frameworks using Delta Lake and modern data engineering practices.
- Drive platform performance tuning, cost optimization, and workload scalability.
- Design and implement cloud-native data solutions across AWS, Azure, and GCP.
- Collaborate with platform engineering teams on CI/CD pipelines, deployment automation, Infrastructure-as-Code, and DevOps practices.
- Support enterprise MLOps implementation and integration with modern AI workflows.
- Lead architecture workshops, technical discovery sessions, and executive presentations.
- Partner with customers to understand business challenges and translate them into scalable technical solutions.
- Provide technical leadership throughout implementation and post-production support.
- Define enterprise architecture standards, implementation best practices, governance frameworks, and reusable solution accelerators.
- Ensure security, compliance, data quality, and operational excellence across implementations.
- Mentor engineering teams and contribute to organizational capability building.
Key Requirements :
- 10+ years of consulting and technology experience.
- Minimum 7+ years of experience in Data Engineering, Data Platforms, or Analytics.
- Minimum 6 - 8 enterprise Databricks implementations delivered in production environments.
- Hands-on enterprise delivery experience is mandatory.
- Strong experience designing and deploying large-scale distributed data platforms.
- Strong customer-facing consulting and solution architecture experience.
- Experience working with global enterprise customers across multiple industries.
- Strong expertise in Apache Spark, Databricks, Delta Lake, and modern data engineering practices.
- Experience with AWS, Azure, and/or GCP.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.
- Master's degree preferred.
- Databricks Data Engineer Professional Certification - Mandatory.
- Additional AWS, Azure, or GCP certifications are highly desirable.
- Excellent technical, communication, and presentation skills.
- Strong consulting and problem-solving mindset.
- Executive presence and stakeholder management capabilities.
- Strong customer engagement and workshop facilitation skills.
- Ability to influence technical and business decision-makers.
Skills
Solution Architect, Databricks, Apache Spark, Delta Lake, Data Engineering, AWS, Azure, Google Cloud Platform, DataLake, Data Architect