- Location
- GDC Financial District, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 15+ years
- Source
- Workday
Description
Techwave, we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do.
Who are we?
Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT).
Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth.
Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible.
And we want YOU to be a part of it.
Job Description
Key Responsibilities
- Design scalable, reliable, and future-ready data architectures
- Ensure delivery of comprehensive architecture documentation (logical, physical, integration views)
- Define data standards, patterns, and reference architectures
- Align data architecture with business requirements and enterprise standards
- Provide architectural guidance and design reviews for engineering teams
- Ensure consistency, scalability, and performance across data platforms
Required Experience & Skills
- 15+ years of experience in data architecture and design
- Strong expertise in data platforms, data lakes, and analytical systems
- Experience defining enterprise data standards and architecture documentation
- Strong understanding of scalability, performance, and data governance
- Ability to translate business requirements into technical architecture
Preferred Qualifications
- Experience with cloud-based data architectures (AWS)
- Exposure to modern analytics and big data ecosystems
Key Competencies
- Architectural thinking and problem-solving
- Documentation and governance discipline
- Strong collaboration and communication skills
