Solution Architect
5 days ago
Job Title: Solution Architect – Data Platforms & Solution Delivery
Location:
Bangalore (Hybrid)
Department:
DIA – Architecture Team
Experience:
Minimum 7+ years in solution/data architecture and large-scale implementations
About Algonomy
Algonomy
(formerly
Manthan Systems
) is a leading global provider of
AI-driven retail and consumer analytics solutions
. Headquartered in Bangalore, Algonomy empowers businesses across retail, CPG, and e-commerce to deliver
personalized, data-driven experiences
through its robust data, analytics, and decisioning platforms. With cutting-edge technologies in
AI, ML, and cloud
, Algonomy partners with global enterprises to accelerate digital transformation and intelligent decision-making.
Role Summary
We are seeking an experienced Solution Architect
to lead the design and delivery of
enterprise data and analytics solutions
. The ideal candidate will bridge business and technology teams to architect scalable, secure, and cost-efficient solutions using modern
cloud-native data platforms
such as
Databricks Lakehouse
and
AWS
. This role demands strong expertise in end-to-end solution architecture, data integration (SAP & non-SAP), and large-scale analytics delivery.
Key Responsibilities
- Gather and analyze business, data, and technical requirements to design scalable data solutions.
- Develop
conceptual, logical, and physical architectures
for data platforms, analytics, and AI/ML projects. - Oversee the
solution lifecycle
— from design and build to testing and deployment. - Architect and integrate
SAP and non-SAP data sources
ensuring data consistency and performance. - Define and implement
solution-level security, compliance, and governance
in collaboration with data security teams. - Lead
performance optimization, scalability, and cost efficiency
initiatives. - Produce technical documentation, architecture diagrams, and knowledge transfer materials.
- Stay current with advances in
cloud, data engineering, and analytics
technologies. - Collaborate with cross-functional teams — data engineers, data scientists, DevOps, and business stakeholders — for successful solution delivery.
Experience & Technical Proficiency
Experience
- Minimum 7+ years in
solution architecture, data architecture
, or
platform engineering
roles. - Proven record in delivering
enterprise-scale data and analytics solutions
.
Technical Proficiency
- Solution Architecture & Data Platforms:
- Data platform design (conceptual, logical, physical)
- Cloud-native & hybrid architectures (Databricks Lakehouse, AWS)
- Integration with SAP & non-SAP data sources
- Databricks Lakehouse Expertise:
- Medallion Architecture, Delta Lake, DLT Pipelines
- PySpark, Spark SQL, SQL Warehouse
- Unity Catalog (Governance, Lineage), Genie (Query optimization)
- RBAC & security configuration
- Programming:
Python, SQL, PySpark, Spark, Scala - AWS Services:
IAM, S3, Lambda, EMR, Redshift, Bedrock - Solution Delivery:
DevOps, CI/CD, architecture documentation, performance tuning, cost optimization - Data Modeling:
ER & dimensional modeling - Compliance:
Knowledge of data security & compliance frameworks - Soft Skills:
Strong communication, presentation, and stakeholder management
Education
- Bachelor's or Master's degree in
Computer Science, Information Systems, Engineering
, or related field.
Preferred Qualifications
- Certifications:
Databricks, AWS, or Solution Architecture - Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS Views
- Exposure to Data Mesh
or
Data Product Management
concepts - Background in
manufacturing or enterprise analytics
environments
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