Data Solution Architect

Hybrid in Coimbatore

Solution Architecture

We are seeking a talented and experienced Data Solution Architect to design and implement cutting-edge data analytics solutions leveraging Microsoft Azure and Databricks.

In this role, you will work with enterprise clients, driving their digital transformation through innovative, scalable, and efficient architectures that address complex data challenges.

Responsibilities

Design data analytics solutions by utilizing big data technology stacks
Create and present solution architecture documents with comprehensive technical details
Collaborate with business stakeholders to identify solution requirements and key case studies/scenarios for future implementations
Lead solution implementation from project inception through deployment and "go-live" phases
Conduct solution architecture reviews, audits, and ROI calculations, presenting findings and recommendations
Engage in pre-sale activities by communicating directly with customers, processing RFPs, and developing tailored implementation proposals
Lead presentations of proposed solution architectures to customer representatives and participate in technical discussions
Stay current with industry trends and best practices to strengthen solution offerings
Develop and follow a personal education plan within the relevant technology stack and solution architecture domain
Support EPAM's business growth in the big data ecosystem by building strong client engagements

Requirements

Strong hands-on experience in big data development with a solid design/development background in Java, Scala, or Python
Experience delivering data analytics projects with clearly defined architecture guidelines
Expertise in big data solutions across cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud
Production project experience with at least one big data technology for use cases such as batch processing (e.g., Hadoop, Spark, Hive)
Familiarity with NoSQL database systems including Cassandra, HBase, or Kudu
Knowledge of Agile development methodologies, particularly Scrum
Proficiency in direct customer communications and leading pre-sales business consulting engagements in enterprise environments
Background in working within consulting firms combined with pre-sales experience is highly advantageous

Nice to have

Skills in implementing data solutions on Databricks with deep proficiency in its ecosystem
Familiarity with building modern data pipelines using Azure Synapse Analytics or Data Factory
Understanding of advanced Spark optimization techniques for large-scale data processing
Background in architecting complex data ecosystems with CI/CD pipelines across hybrid environments
Capability to leverage cloud-native data services for machine learning or AI-powered analytics