Position Overview :

We are seeking a highly seasoned Lead/Principal Data Architect with over a decade of experience to design, build, and scale our next-generation data platform. In this role, you will be the mastermind behind our data strategy, bridging the gap between complex business requirements and robust technical execution.

Required Qualifications :

Experience :

- 10 years of progressive experience in Data Engineering, Data Warehousing, and Data Architecture
- Proven track record of designing and implementing enterprise-scale data platforms
- Demonstrated experience leading technical teams and influencing architectural decisions

Educational Background :

- Bachelor of Engineering (BE) / B.Tech in Computer Science or related field
- Master of Computer Applications (MCA) / M.Tech

Mandatory Technical Skills :

- Databricks : Deep hands-on expertise with Databricks Lakehouse platform, Delta Lake, Unity Catalog, and Spark performance optimization
- Snowflake : Strong experience in architectural design, performance tuning, query optimization, and cost-optimization strategies
- Python : Advanced proficiency for data pipeline development and scripting
- Scala : Solid experience for Spark-based distributed computing
- SQL : Expert-level SQL skills for complex query optimization and data modeling
- Structured Streaming : Hands-on experience with Apache Spark Structured Streaming for real-time data processing
- Apache Kafka : Proven expertise in designing and implementing Kafka-based data streaming architectures
- Flink/AWS Kinesis : Experience with Apache Flink or AWS Kinesis for stream processing and real-time analytics

Technical Expertise :

- Data Pipeline Excellence : Exceptional expertise in designing distributed, fault-tolerant data pipelines using Python, Scala, or SQL
- Real-time Systems :



Proven track record with stream processing technologies for real-time, low-latency use cases
- Polyglot Persistence : Solid foundation in traditional Data Warehousing and relational database management systems (RDBMS); hands-on experience with NoSQL ecosystems
- Cloud Platforms : Deep understanding of AWS services including Lambda, S3, EC2, IAM, and VPC configurations
- Data Governance : Experience implementing data governance, lineage tracking, and metadata management solutions

Soft Skills &

Competencies :

- Problem-Solving : Elite analytical mindset with a proven track record of troubleshooting complex distributed systems and resolving performance degradation issues
- Communication : Ability to articulate complex technical architectures clearly to both engineering teams and non-technical business stakeholders
- Leadership : Natural ability to mentor, guide, and elevate technical teams; robust influence without authority
- Collaboration : Proven ability to work cross-functionally with data scientists, engineers, and business stakeholders
- Attention to Detail : Meticulous approach to system design, documentation, and quality assurance

Preferred / Good-to-Have Qualifications :

- AI/ML Data Readiness : Exposure to architecting data solutions tailored for AI, such as vector databases (e.g., Pinecone, Milvus), feature stores, or building data pipelines for generative AI/LLM applications
- Certifications : Databricks Certified Data Architect, Snowflake Certified Advanced Architect, or AWS Solutions Architect certifications
- Experience with data quality frameworks and tools (e.g., Great Expectations, dbt)
- Knowledge of containerization technologies (Docker, Kubernetes) and CI/CD pipelines
- Experience with data cataloging and metadata management platforms
- Exposure to graph databases and advanced NoSQL technologies
- Experience with cost optimization strategies for cloud data platforms

📌 Principal/Lead Data Architect - AWS Platfrom (India)
🏢 Vikash Technologies
📍 India