We are looking for a versatile Data Architect with a strong background in designing and implementing enterprise-grade data platforms and cloud-native solutions. The role combines architecture leadership with hands-on implementation, focusing on scalable data foundations, integration patterns, governance, analytics enablement, and modern AWS services. Azure and Databricks knowledge will be considered an added advantage.

Responsibilities Design and own end-to-end data architecture across ingestion, storage, transformation, serving layers, APIs, and cloud services.

Define and enforce architectural standards, data modeling practices, integration patterns, and reusable platform conventions.

Lead technical design sessions and guide development teams through implementation, code reviews, and solution reviews.

Design cloud-native data platforms on AWS using services such as S3, Glue, Lake Formation, Athena, Redshift, Lambda, Step Functions, IAM, KMS, CloudWatch, and EventBridge as appropriate.

Collaborate with analytics and data science teams to prepare curated, trusted datasets for reporting, simulation, and advanced analytics.

Oversee governance, security, data quality, lineage, observability, and operational controls across the data lifecycle.

Conduct architecture reviews to ensure solutions are scalable, performant, secure, and cost-effective.

Translate business and technical needs into explicit architectural blueprints, reference implementations, and implementation guidance.

Partner with product managers, business analysts, UX designers, engineers, and cloud teams to align technical solutions with business outcomes.





Qualifications Bachelor's or master's degree in Computer Science, Engineering, or a related field.

12+ years of overall experience in data architecture, data engineering, or solution architecture, with at least 6 years in an architect role.

Deep experience with AWS services and patterns for data platforms, preferably including S3, Glue, Athena, Lake Formation, Redshift, Lambda, Step Functions, IAM, KMS, CloudWatch, and EventBridge.

Strong grounding in data modeling, ETL/ELT, data warehousing, medallion or lakehouse patterns, and API-driven integrations.

Proficiency in SQL and at least one programming language used in data platforms such as Python.

Experience with microservices, RESTful APIs, event-driven architectures, CI/CD pipelines, and DevOps practices.

Solid understanding of data governance, security, access control, lineage, and data quality management.

Strong communication skills with the ability to engage both technical and non-technical stakeholders.

Knowledge of Databricks and Azure data services will be considered a plus.

Preferred Skills Exposure to GenAI or agentic frameworks such as LangChain, CrewAI, MCP, or AWS Bedrock Agents.

Experience with MLOps or AI/ML platforms such as SageMaker, MLflow, or Kubeflow.

Familiarity with vector databases, prompt engineering, RAG pipelines, and intelligent workflow orchestration.

Cloud certifications such as AWS Solutions Architect, AWS Data Engineer, or AWS Machine Learning Specialty.

Experience with enterprise data platforms supporting analytics, operations, or distributed business sites.

📌 Senior Data Architect (Bengaluru)
🏢 C5i
📍 Bengaluru