Job description
This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 4000000 (ie INR 25-40 LPA) Experience: 5+ yrs Location: Bengaluru, Hyderabad Job Type: Full-Time We are looking for a highly skilled Forward Deployed Engineer to bridge the gap between engineering, product, and enterprise customers by delivering scalable, data-driven solutions.
In this customer-facing role, you will work closely with clients to understand complex business challenges, architect robust data solutions, and build production-ready systems that drive measurable business outcomes.
You will play a key role in translating technical and business requirements into scalable implementations while influencing product evolution through customer insights and real-world use cases.
This role is ideal for professionals who enjoy solving complex data engineering problems, collaborating with cross-functional teams, and working directly with enterprise customers throughout the implementation lifecycle.
Key Responsibilities Partner with enterprise customers to understand business requirements and design end-to-end technical solutions.
Architect, develop, and maintain scalable data pipelines for batch and real-time data processing.
Build and optimize data infrastructure using modern cloud platforms and distributed data systems.
Translate solution requirements into detailed technical designs, implementation plans, and scalable architectures.
Configure and extend workflow orchestration processes to support complex business automation requirements.
Make informed technical decisions regarding reusable platform capabilities versus customer-specific implementations.
Collaborate closely with product, engineering, and implementation teams to identify platform improvements and product enhancement opportunities.
Lead technical discussions with customers during solution design, implementation, and deployment phases.
Develop intuitive frontend interfaces using modern web technologies to present data effectively for business users.
Build and integrate REST and GraphQL APIs to support seamless data exchange across systems.
Participate in architecture reviews, contribute to internal engineering tools, and promote engineering best practices.
Capture customer feedback, document recurring implementation patterns, and advocate for product improvements based on real-world usage.
What Makes You a Great Fit Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
5–7 years of experience in Forward Deployed Engineering , Data Engineering, Solution Engineering, or customer-facing technical consulting roles.
Strong programming skills in Python and SQL with experience building production-grade data solutions.
Experience designing and optimizing data pipelines, data warehouses, and distributed data processing systems.
Strong understanding of distributed systems, scalability, fault tolerance, and data architecture principles.
Hands-on experience with cloud platforms such as Google Cloud Platform (GCP) or AWS , including containerized deployments using Kubernetes.
Familiarity with workflow orchestration platforms such as Airflow, Argo, Temporal, or similar technologies.
Experience working with BigQuery , including schema design, query optimization, partitioning, and cost optimization.
Strong frontend development experience using React and TypeScript to build scalable user interfaces.
Experience integrating REST and GraphQL APIs into enterprise applications.
Excellent communication and stakeholder management skills with the ability to lead customer-facing technical discussions.
Strong analytical, problem-solving, and solution architecture skills with the ability to translate ambiguous business problems into scalable technical solutions.
A collaborative mindset with a passion for building customer-centric products and driving continuous platform improvements.
This job post has been translated by AI and may contain minor differences or errors.
