Data Architect

Acesoft Labs; New Delhi; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Acesoft Labs is seeking an experienced Data Architect to design scalable, end-to-end data architectures and lead advanced data modelling for large financial datasets. You will work closely with delivery pods, shaping designs, reviewing code, and addressing production issues to ensure robust, secure data systems.

The role requires deep expertise in semantic data engineering, knowledge graphs, and ontology development, with hands-on involvement across design, build, and production operation.

Qualifications

• 15+ years building and operating production systems with increasing depth of expertise.
• Hands-on experience in designing and implementing scalable data architecture and comprehensive data modelling (conceptual, logical, physical).
• Strong engineering background with ability to remain close to code, implementation, and production environment.

Responsibilities

• Design and implement scalable, end-to-end data architectures across ingestion, pipelines, cloud-native platforms, and analytics layers.
• Lead data modelling efforts across conceptual, logical, and physical layers (3NF and dimensional modelling).
• Create and maintain semantic and canonical models, validate data integrity, and build enterprise knowledge graphs.
• Provide guidance to engineering teams to ensure architectural integrity and delivery excellence.
• Review, write, and improve production code; collaborate with senior engineers on complex challenges.
• Integrate AI Agents and MCP-based capabilities with enterprise data platforms, ensuring secure access and scalability.

Skills

Data modeling

Data architecture

Semantic graphs

Knowledge graphs

Ontology development

RDF/OWL

SPARQL

SHACL

Cloud platforms

Production code

Tools

Erwin

RStudio

SPARQL

SHACL

Job description

Position:Data Architect

Experience:12-15 years

Location:Hyderabad, Ahmedabad, Delhi NCR

Time Zone / Shift:Starts at 12:30 PM IST

About the Role

The Enterprise Solutions Technology division includes workflow solutions across Loan & Credit Workflow, Client Onboarding & Entity, Post-Trade, Tax & Regulatory Reporting, Public & Private Markets and Pricing, Public Valuations, Reference Data & Risk Analytics (FRA) & other shared functions.

Enterprise Solutions provides industry-leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate with greater efficiency, and provide transparency across their business and to their key stakeholders.

What’s in it for you:

This isa hands-on architecture and engineering role, not a governance or review-only position.

• The role exists to ensure architectural decisions are grounded in real implementation constraints, carried through into code, and result in systems that perform reliably in production.
• You will work, day to day with delivery podsto shape designs, review and write codewhere needed, and resolve complex technical issues.
• You will be involved early in design discussions and remain engaged through build, release, and production operation.
• You will step in on complex integrations, performance issues, failures, and incidents, helping teams stabilize systems and improve them based on real production behaviour.
• You will operate across multiple pods within a segment, influencing design and delivery through hands-on contribution, technical review, and earned credibility rather than formal authority.

Responsibilities:

• Design and implement scalable, end-to-end data architecturesencompassing source system ingestion, integration pipelines, cloud-native data platforms, data mesh and downstream analytical and operational consumption layers, ensuring robustness, scalability, and security.
• Lead comprehensive data modelling effortsacross conceptual, logical, and physical layers, applying best practices in normalized (3NF) and dimensional modelling to support complex, high-volume financial datasets and enable effective reporting and analytics.
• Create and maintain semantic/canonical modelsusing ontologies and validate data integrity via SHACL shapes to build enterpriseknowledge graphs, establishing consistent terminology, enforcing data quality constraints, enhancing data interoperability.
• Serve as a trusted, domain-aware technical partnerto engineering teams to providing guidance and hands-on support to ensure architectural integrity and delivery excellence.
• Maintain hands-on involvement in reviewing, writing, and improving production code; collaborate with senior engineers to solve complex technical challenges and ensure high-quality deliverables.
• Integrate AI Agents and MCP-based capabilitieswith enterprise data platforms, enabling secure, governed access to data, tools, and services through scalable and production-ready patterns.
• Design agent-ready data and context architecturesleveraging knowledge graphs, semantic models, metadata, and APIs, with strong controls for security, observability, auditability, reliability, and graceful failure.
• Demonstrate practical expertise with cloud platforms(AWS, Azure, GCP), leveraging managed services, multi-tenant architectures, and balancing cost-performance trade-offs effectively.

What are we looking for

• 15+ yearsbuilding and operating production systems, with increasing depth of expertise at each level.
• Proven hands-on experience indesigning and implementing scalable data architectureandcomprehensive data modelling (conceptual, logical, and physical)for large-scale enterprise systems using tools likeErwin/RStudio.
• Strong engineering background with the ability and willingness to remainclose to the code, implementation, and production environment.
• Strong hands-on expertise insemantic data engineering, ontology development, RDF/OWL, SPARQL, SHACL, and knowledge graph technologies, with experience designing scalable semantic models, validation frameworks, and graph-based solutions.
• Possess strong knowledge of end-to-end workflowsrelevant to financial domains (e.g., trade lifecycle, processing, reporting, reconciliation), and design data architectures that optimize data movement, quality, lineage throughout and operational resilience throughout these workflows.
• In-depth knowledge aboutAgentic solutions and MCP-based integrations, with a strong understanding of agentic architectures, enterprise data access, tool integration, security, governance, observability, and production reliability.
• Proven experience buildinglarge-scale, distributed, data-intensive, and event-driven systemswith cloud-native architectures preferably within financial services or another highly regulated industry.

Leadership & Influence

• Demonstrated ability tolead throughtechnical credibility & hands-on contribution.
• Strong communication skills, with the ability to engage effectively with engineers, engineering managers, product leaders, architects, and senior segment leadership.
• Able to operate effectively across multiple delivery pods, balancingstrategic architectural direction with day-to-day engineering realities.
• A strongsense of ownershipfor outcomes, with the ability to stay engaged fromarchitecture through implementation and production operation.

Please feel free to reach out if you need any further details regarding the position.

Note:Interview or offer by TechBlocks may extend across multiple projects, programs, clients, and engagements. Communication regarding a specific opportunity does not guarantee or limit candidature to that opportunity and remains subject to business needs, stakeholder review, project or client approval requirements where applicable.