Technical Architect

Datacrew.ai
Posted on
Experience
10 - 15 yrs
Job Location
Chennai, India
Vacancy
1
Designation
Technical Architect
Job Type
Not specified

Job Description

Technical Architect
Role Overview:
We are seeking a; Technical Architect ;who will be responsible for designing, defining, and guiding the overall technical architecture of our projects while maintaining strong hands-on development expertise. The ideal candidate will collaborate across; Frontend, Backend, DevOps, and Data Engineering ;domains to build scalable, efficient, and high-performing solutions that adhere to best practices. You will also act as a; technical mentor and thought leader , providing guidance to engineering teams and staying ahead of emerging technologies, including; AI/ML ;and; Large Language Model (LLM) ;ecosystems.
Experience
10+ years (including a minimum of 2 years in a Data Architect role)
Responsibilities:
  • Design and architect scalable, high-performance, and secure data platforms (Data Warehouses, Data Lakes, Lakehouse) to support analytics, AI/ML, and reporting needs.
  • Leverage Big Data technologies such as PySpark, Hadoop, Kafka, and Databricks for large-scale data processing and transformation.
  • Develop and maintain conceptual, logical, and physical data models aligned with business requirements and governance standards.
  • Architect data integration pipelines to enable seamless data flow across diverse systems, including legacy and modern cloud platforms (Databricks, Snowflake, AWS, Azure).
  • Lead modernization and migration initiatives from on-premises databases (e.g., Informix, Oracle) to cloud-native platforms (AWS, Azure, Google Cloud).
  • Continuously optimize data pipelines and storage for performance, scalability, cost efficiency, and SLA adherence.
  • Partner with business development teams to provide technical leadership during pre-sales engagements, including client workshops and architecture discussions.
  • Collaborate with data engineers, data scientists, business analysts, and IT teams to ensure architecture alignment with business goals.
  • Define and enforce data governance frameworks, quality standards, and security policies to ensure compliance with organizational and regulatory requirements.
  • Evaluate emerging technologies and tools to define long-term data strategy and ensure future scalability.
Key Skills:
  • Backend: Java (Spring Boot, Microservices, REST APIs), Python (Django, Fast API, Flask), Node.js (Express)
    Frontend: React, Angular, with JavaScript/TypeScript skills.
  • Data Engineering: ETL/ELT pipelines, data warehousing, streaming architectures (Kafka, Spark).
  • Cloud DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD, Infrastructure-as-Code.
  • Databases Messaging: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch; event-driven architectures and message queuing.
  • Skills: System design, architecture patterns, distributed systems, scalability, performance, and security.
  • Leadership: Team mentoring, Agile/Scrum experience, strong communication and collaboration skills
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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