Job Description

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, with a focus on scalable data foundations, integration patterns, governance, analytics enablement, and modern AWS services.

Azure and Databricks experience will be an added advantage.

Key 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 and implement cloud-native data platforms on AWS, leveraging services such as:
- Amazon S3
- AWS Glue
- AWS Lake Formation
- Amazon Athena
- Amazon Redshift
- AWS Lambda
- AWS Step Functions
- AWS IAM
- AWS KMS
- Amazon CloudWatch
- Amazon EventBridge
- Collaborate with analytics and data science teams to develop curated and trusted datasets for reporting, simulation, and advanced analytics.
- Oversee data 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 requirements into architectural blueprints, reference implementations, and implementation guidelines.
- Partner with Product Managers, Business Analysts, UX Designers, Engineers, and Cloud teams to align technical solutions with business outcomes.





Required Skills & 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 of experience in an Architect role.
- Strong hands-on experience with AWS data services and cloud architecture patterns, preferably including S3, Glue, Athena, Lake Formation, Redshift, Lambda, Step Functions, IAM, KMS, CloudWatch, and EventBridge.
- Strong understanding of:
- Data modeling
- ETL/ELT
- Data warehousing
- Medallion/Lakehouse architecture
- API-driven integrations
- Strong proficiency in SQL and at least one programming language used in data platforms, preferably Python.
- Experience with microservices, REST APIs, event-driven architectures, CI/CD pipelines, and DevOps practices.
- Solid understanding of data governance, security, access control, data lineage, and data quality management.
- Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical stakeholders.

DISCLAIMER AND NOTIFICATION

We (C5i) do not charge/accept any amount or security deposit from job seekers during the selection process or while inviting candidates for an interview.

If you meet our position requirements and can see yourself at C5i, we invite you to apply by e-mailing your resume and cover letter to us at [email protected]. Please include the job title in your subject line. We do not accept any hiring requests on phone.

Please note that the hiring process at C5i is based purely on merit. If you are applying via any third-party recruitment site or agency, ensure that no monetary transaction is involved in the application/selection process.

📌 Senior Manager (India)
🏢 Course5
📍 India