Solution Architect - Big Data & Cloud Technologies (8-12 yrs)

Responsibilities :

- Participate in presales (15%) to assist with solution design, presentations, and client demonstrations.

- Lead post-sales (85%) implementation of enterprise-grade architectures and solutions.

- Design and implement scalable Big Data pipelines and cloud solutions (AWS, Azure, GCP).

- Develop and optimize data models using SQL databases like PostgreSQL.

- Deploy and manage containerized solutions using Kubernetes.

- Ensure seamless system integration through APIs, file systems, and streaming platforms (Kafka, Kinesis).

- Collaborate with clients to understand business needs and provide tailored solutions.

- Work on MLOps/DataOps frameworks and AI/ML applications as needed.

- Maintain strong client relationships and provide technical support.

Mandatory Skills :

- Experience : 8+ years in Big Data and Cloud Technologies (AWS, GCP, Azure).

- Programming : Proficiency in Python, JavaScript, or Java.

- Data Modelling : Expertise in designing and optimizing data models.

- SQL Databases : Strong experience with databases like PostgreSQL.

- Kubernetes : Hands-on experience with container orchestration and deployment.

- Customer Interaction : Proven experience in customer-facing roles with excellent communication skills.

Good to have skills :

- Knowledge of AI/ML concepts and their implementation.

- Familiarity with stream processing frameworks (Kafka, Kinesis).

- Experience with MLOps and DataOps tools.

- Expertise in Postgres, Cassandra, and distributed systems.

Key Traits :

- Analytical, detail-oriented, and proactive problem solver.

- Strong organizational, time-management, and multitasking abilities.

- Excellent verbal and written communication for effective client interactions