Data Solution Architect
3 days ago
**Job Information**:
Date Opened
**07/24/2025**
Job Type
**Full time**
Work Experience
**10-18 years**
Industry
**IT Services**
Number of Positions
**1**
City
**Chennai**
State/Province
**Tamil Nadu**
Country
**India**
Zip/Postal Code
**600001**
**About Us**:
Why a career in Zuci is unique
Constant attention is the source of our perfection.
We fundamentally believe that building a career is all about consistency. If you jog or walk for a few days, it won’t bring in big results. If you do the right things every day for hundreds of days, you'll become lighter, more flexible, and you'll start enjoying your work and life more.
Our customers trust us because of our unwavering consistency. Enabling us to deliver high-quality work and thereby give our customers and Team Zuci the best shot at extraordinary outcomes.
Do you see the big picture?
Is Digital Engineering your forte?
**Solution Architect (Data & AI Focus)**
**Location**: Chennai/Bangalore **Experience**: 15+ Years **Employment Type**: Full Time
**Responsibilities**
- Define the overall technical architecture for data and AI solutions, ensuring alignment with business strategy and enterprise architectural principles.
- Design end-to-end data pipelines, data warehouses, data lakes, and AI/ML platforms, considering scalability, security, performance, and cost-effectiveness.
- Provide technical leadership and guidance to Data Engineering, Business Intelligence, and Data Science teams, ensuring adherence to architectural standards and best practices.
- Collaborate extensively with pre-sales, sales, marketing, and other department units to understand business needs, define technical requirements, and present solution proposals to clients and internal stakeholders.
- Evaluate and recommend appropriate technologies, tools, and platforms (open source, commercial, cloud) for various data and AI initiatives.
- Identify potential technical risks and challenges, proposing mitigation strategies and ensuring solution resilience.
- Create detailed architectural documentation, including design specifications, data flow diagrams, and integration patterns.
- Stay updated with the latest architectural patterns, cloud services, and industry trends in data and AI, driving continuous improvement and innovation.
**Tools & Technologies**
- **
Cloud Architecture**: Deep expertise across at least one major cloud provider (AWS, Azure, GCP) with strong understanding of their data, analytics, and AI services.
- ** Data Platforms**: Snowflake, Databricks Lakehouse, Google BigQuery, Amazon Redshift, MS Fabric
- ** Integration Patterns**: API Gateways, Microservices, Event-Driven Architectures, Message Queues (Kafka, RabbitMQ, SQS, Azure Service Bus).
- ** Data Modeling**: Advanced data modeling techniques (Dimensional Modeling, Data Vault, Entity-Relationship Modeling).
- ** Security & Compliance**: Understanding of data security best practices, compliance regulations (GDPR, HIPAA), and cloud security frameworks.
- ** DevOps/MLOps**: CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation), containerization (Docker, Kubernetes).
- ** Programming Languages**: Proficiency in at least one (Python, Java, Scala) for prototyping and architectural validation.
- ** Version Control**: Git.
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