Technical Architect — Data and Analytics (AWS)

Winwire Technologies; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Winwire Technologies is looking for a Technical Architect specializing in Data and Analytics (AWS) in Hyderabad. The role involves technical leadership in driving end-to-end solutions, ensuring data quality through architecture implementation, and collaborating closely with clients and cloud architects.

The ideal candidate should have extensive experience with Databricks and AWS Glue, along with strong data engineering skills.

Qualifications

• 10+ years of experience in Data Engineering, Big Data, or Cloud Data Platforms.
• 8+ years of hands-on experience with Databricks.
• 4+ years of experience in AWS Glue.

Responsibilities

• Drive end-to-end technical solutions ensuring performance and scalability.
• Architect and implement large-scale data ingestion.
• Collaborate with cloud architects to integrate platform services.

Skills

Data Engineering

Databricks (PySpark/Scala)

AWS Glue

Spark-based frameworks

Tools

AWS Glue

Databricks

Terraform

GitHub

Job description

Technical Architect — Data and Analytics (AWS)

Experience: 12–16 years

Location: Hyberabad / Bengaluru

Role Summary

The ideal candidate should be able to handle the complete architecture, Solutioning and handle client calls effectively.

What You’ll Do

• Technical Leadership
• Drive end-to-end technical solutions, ensuring performance, scalability, and reliability.
• Establish coding standards, best practices, and development guidelines.
• Conduct code reviews, provide technical mentorship, and resolve complex technical issues.
• Data Platform Architecture
• Architect and implement large-scale data ingestion, transformation, and storage layers.
• Design Lakehouse architecture using Delta Lake, Unity Catalog, Medallion model.
• Ensure data quality, lineage, and governance across data assets.
• Collaborate with cloud architects to integrate platform services across Azure and AWS.
• Solution Development
• Develop optimized Spark jobs (PySpark/Scala) with strong performance tuning practices.
• Implement ETL/ELT pipelines using Databricks notebooks, Workflows, and Glue Jobs.
• Integrate data from multiple sources into ADLS/S3 with appropriate security and metadata management.
• Build CI/CD pipelines using Azure DevOps / GitHub Actions.
• Cloud Infrastructure & Security
• Define IAM roles, managed identities, ACLs, and storage permissions for secure operations.
• Work with Terraform/CloudFormation for infrastructure automation.
• Monitor cloud resource utilization and optimize cost.
• Cross-Functional Collaboration
• Interact with stakeholders, analysts, architects, and business teams to translate requirements into technical designs.
• Present architectural recommendations and solution proposals to leadership.
• Coordinate with DevOps and Cloud Engineering for deployment and operational readiness.

Must-Have Skills

• 10+ years of experience in Data Engineering, Big Data, or Cloud Data Platforms
• 8+ years of hands‑on experience with Databricks (PySpark/Scala, Delta Lake, Lakehouse architecture)
• 8+ years of experience with Databricks (RBAC, ACLs, hierarchical namespaces)
• 6+ years of experience designing data ingestion and transformation pipelines using Spark‑based frameworks.
• 4+ years of experience in AWS Glue (Glue ETL jobs, Workflows, Crawlers, Glue Catalog).
• 4+ years of experience in Athena, Spark and Python scripts.

Good to Have

• Experience with version control systems with GitHub.
• Exposure to GitHub pipelines.
• Knowledge of performance optimization techniques.
• Support the overall development and unit testing, system testing, and deployment of the solution.
• Ensure smooth handover to operations and support teams.
• Ensure proper integration with existing systems, data sources, and third‑party services.

Tech Stack

AWS Glue (Glue ETL jobs, Workflows, Crawlers, Glue Catalog), Databricks (PySpark/Scala, Delta Lake, Lakehouse architecture), SQL