Data Platform Engineer
About Us
Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We enable clients to maximize their potential and achieve greater market reach through a wide array of technology services, including Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of Things (IoT). Founded in 2004 and headquartered in Houston, TX, USA, Techwave leverages expertise in Digital Transformation, Enterprise Applications, and Engineering Services to help businesses accelerate growth. We foster a culture of growth and inclusivity, ensuring every team member is challenged and provided opportunities to excel.
About the Role
The Data & Analytics function at Techwave designs and delivers robust global data platforms that enable business solutions and high-quality analytics. As a Data Platform Engineer - Senior Associate, you will be responsible for the reliability, scalability, and operational excellence of the enterprise data platform and its services. This role focuses on production support, platform reliability improvements, automation, and standardization to enable scalable delivery and maintenance of trusted data products aligned with the Data & Analytics strategy.
Responsibilities
- Design and implement scalable ingestion, orchestration, compute, and storage patterns for enterprise analytics and data products.
- Build and maintain CI/CD for data platform assets and pipeline deployments; develop reusable templates/modules to accelerate onboarding and delivery.
- Maintain the Information Architecture (IA).
- Drive production reliability through SRE-aligned practices: monitoring, alerting, SLOs/SLIs, error budgets, automated remediation, and runbooks.
- Implement data quality and data observability patterns and integrate with enterprise monitoring.
- Partner with security and governance stakeholders to embed access, encryption, key management, and masking/tokenization patterns where required.
- Maintain, enforce, and automate role-based access control (RBAC).
- Support user onboarding requests.
- Respond to and remediate security incidents; provide evidence for audits.
- Ensure business continuity processes are documented and reviewed.
- Optimize cost and performance for warehouses, queries, and data loads.
- Recommend and deploy schema changes (tables, views, materialized views, etc.).
- Identify and analyze pipeline failures and performance issues; recommend and deploy query tuning and optimization.
- Manage service requests, change requests, and incident management, including Major Incident Management (MIM) with enhanced response times, support, Root Cause Analysis (RCA), and remediation.
- Provide weekly operational reporting on service request status, incident management, RCA tickets, platform improvements, and platform consumption (FinOps) monitoring.
- Mentor associate engineers; contribute to standards and documentation.
Requirements
- Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related discipline.
- 5+ years of strong platform engineering/operational experience.
- Hands-on experience with Snowflake is required.
- Proficiency in Python and SQL.
- Experience with ETL/ELT tools and orchestration (Informatica, DBT).
- Proven experience with API-based data ingestion (REST APIs, JSON/XML).
- Experience implementing and maintaining CI/CD, IA, and environment management for data platforms.
- Strong operational discipline: incident management, problem management, and release/change practices.
- Familiarity with cloud data platforms (Azure, AWS).
- Strong understanding of the data lifecycle.
- Agile/Scrum delivery exposure.
Qualifications
- Experience with lakehouse and/or modern warehouse platforms; streaming platforms; data catalog/lineage.
- Experience with enterprise authentication/authorization patterns, RBAC, secrets management.
- Exposure to FinOps practices for platform consumption.
Location: Hyderabad