Solutions Architect
Company Profile
Our client is a Leather and Fur manufacturer and exporter based out of Delhi and Gurgaon. The
company is an unlisted Indian private company that operates a contemporary clothing brand and
serves as a strategic partner for global brands like Nike and Converse in India. The company acts as a
strategic partner to global brands in India. Operating in major Indian cities and also manage the
brands franchise for Pan India operations. The company also produces trendy and contemporary
apparels and fashion accessories in India.
Location & work – Mumbai / Gurgaon, India
Employment Type - Full Time
Profile – Senior Solutions Architect - Systems, Data & AI
Preferred experience – 10+ Years
The Role:
We are looking for a Senior Solution Architect who can join our team. The candidate will own the
overall technology architecture across the organisation's business systems ((ERP, CRM, finance),
integrations, data and AI solutions. The role will focus on building a reliable and scalable technology
foundation that connects systems, improves access to business data and enables applications,
reporting and automation.
The individual will maintain an end-to-end understanding of how business systems operate, how
data moves between them and how it is used by applications and teams. This includes being hands-
on in investigating issues, working with data, designing solutions and guiding implementation, while
ensuring that systems remain reliable, secure and fit for evolving business needs.
Responsibilities:
1. Systems Architecture & Integration
∙Assess existing business systems, applications and integrations to identify gaps and
opportunities for improvement.
∙Design how business applications, databases, APIs and data platforms connect and exchange
information.
∙Build and improve integrations across operational systems, ERP, CRM, finance and other
relevant platforms.
∙Evaluate technology options and recommend solutions that balance business needs,
reliability, scalability and cost.
∙Establish clear architecture standards and documentation to support future development
and maintenance.
2. Data Engineering & Management
∙Build and maintain data pipelines that bring information together from business systems,
databases and APIs.
∙Design and maintain data models with clear definitions, relationships, history and business
rules. Ensure data is accurate, consistent and reliable through validation, automated checks
and reconciliation with source systems.
∙Handle data updates, duplicates, missing information and changes in source systems without
disrupting downstream reporting and applications.
∙Maintain data definitions, documentation and traceability so that teams can understand
where information comes from and how it is used.
∙Monitor and improve pipeline reliability, data processing performance and warehouse costs.
3. AI & Automation
∙Design the technical foundation for AI-enabled applications, intelligent workflows and
business process automation.
∙Enable AI applications to securely access relevant business systems and reliable data sources.
∙Work with AI technologies, including large language models (LLMs) and retrieval-augmented
generation (RAG), to support relevant business use cases.
∙Ensure AI solutions have appropriate controls for data access, accuracy, reliability and
sensitive information.
∙Identify opportunities to build reusable integrations and AI capabilities that can support
multiple business functions.
4. Security, Reliability & Technical Leadership
∙Ensure systems and integrations follow appropriate security, access control and data
protection practices.
∙Establish monitoring, error handling and recovery processes to identify and resolve issues
promptly. Guide technical decisions, review proposed solutions and work closely with
engineers to ensure effective implementation.
∙Remain hands-on in technical design, troubleshooting and implementation where required.
Document systems, integrations and technical decisions, and establish clear ownership for
ongoing maintenance and support.
∙Identify technical improvements and prioritise them based on business impact, complexity
and long-term requirements.
Must-Have Qualifications:
∙Minimum 10 years of experience as a Solution Architect.
∙Significant experience in data engineering, systems architecture, solution architecture or
software engineering, with ownership of production systems and complex technical
solutions.
∙Strong SQL skills, including complex queries, data validation and query optimisation.
∙Practical Python experience for data processing, automation, integrations and
troubleshooting.
∙Experience working with cloud data warehouses such as BigQuery, Snowflake or Redshift.
∙Strong understanding of data modelling, including data relationships, historical records,
business rules and dimensional modelling.
∙Experience with data transformation tools such as dbt or equivalent, and pipeline
orchestration, monitoring and recovery.
∙Experience integrating business applications and operational systems through APIs,
connectors or other integration methods.
∙Strong understanding of application architecture, databases, system dependencies and data
flows.
∙Experience with cloud platforms such as AWS, Azure or GCP
∙Understanding of data quality, reconciliation, access controls, documentation and data
security.
∙Practical understanding of AI/LLM applications and how they integrate with business systems
and data, including familiarity with RAG and related approaches.
∙Experience using Git, code reviews and automated checks to manage technical changes
safely.
Preferred Skills:
∙Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science,
Artificial Intelligence, or a related field.
∙Strong problem-solving skills, with the ability to investigate issues, explain technical trade-
offs and work directly with business and technical teams.
∙A hands-on approach, with the ability to move between architecture design, implementation
and troubleshooting.
Application Method
Apply on LinkedIn or email your resume to: careers@speedmart.co.in