Technical Architect – Data & Analytics

Location – Hyderabad or Bangalore

Experience – 12 to 17 Years

Job Description :

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

Key Skills: AWS, Databricks, AWS Glue, ETL

Why Join WinWire: Your Path to Professional Excellence in the Age of AI

As an Employer of Choice, WinWire offers an exceptional workplace culture, industry recognition, and an unwavering commitment to employee growth. Here is why top talent chooses us:

• AI-First. Globally Recognized: Honored at the World Economic Forum in Davos for our pioneering "Agentic AI @ Scale" work, cementing our position as a forward-thinking, AI-first services firm shaping the future of enterprise technology. Read Press Release
• Microsoft Gold Standard: A 6x Microsoft Global Partner of the Year Winner/Finalist — reflecting our consistent delivery of industry-leading solutions and our deep, trusted partnership with Microsoft. Learn more about our MSFT relationship
• Joining the NTT DATA Family: WinWire is becoming part of NTT DATA, a $30 billion global leader in AI, digital business, and technology services. This means greater career stability, broader client exposure, and access to a vast landscape of opportunities across a truly global organization. Read Press Release
• Award-Winning Culture: Certified as a Best Place to Work® four times, our workplace culture is not just a talking point — it is a proven, recognized commitment to creating an environment where people genuinely thrive. Watch video
• People-First Environment: With a strong 4.0 Glassdoor rating, our employees speak for themselves. We prioritize wellbeing, inclusivity, and a culture of respect at every level of the organization.
• Invest in Your Growth: From continuous learning programs to structured career development pathways, we equip our team with the skills, tools, and opportunities needed to grow and lead in the age of AI.