This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Resident Solutions Architect in India.
In this role, you will work closely with strategic customers to design, build, and deliver high-impact big data and AI solutions on modern cloud-based platforms. You will engage in short- to medium-term projects, helping organizations unlock the full value of their data through hands-on architecture, implementation, and enablement. The role combines deep technical expertise with strong customer-facing responsibilities, requiring both execution excellence and advisory skills. You will contribute to production-grade solutions, reference architectures, and proof-of-value initiatives. Collaboration with engineering and support teams is central to driving successful outcomes. This is a highly impactful, billable role within a dynamic professional services environment.
Accountabilities
- Lead and deliver customer-facing big data and AI projects, including architecture design, implementation, and deployment of production-grade solutions.
- Design reference architectures, technical guides, and MVPs that address complex data engineering and analytics challenges.
- Guide customers through large-scale data platform transformations, including third-party migrations and end-to-end solution delivery.
- Provide hands-on expertise in data engineering, data science, and cloud technologies to integrate solutions with existing client systems.
- Advise customers on best practices to ensure successful adoption and long-term value from modern data platforms.
- Collaborate with engineering and customer support teams to share product feedback and resolve engagement-specific issues efficiently.
- Deliver projects to specification while maintaining a high standard of customer service and technical quality.
Requirements
- Ten or more years of experience working with big data technologies such as Apache Spark, Kafka, cloud-native architectures, and data lakes.
- Six or more years of experience independently designing and delivering large-scale big data architectures.
- Strong hands-on experience within the Databricks ecosystem in customer-facing, post-sales, or consulting roles.
- Proficiency in writing production-quality code using Python or Scala.
- Solid experience working across major cloud platforms, including AWS, GCP, and Azure.
- Strong documentation, presentation, and whiteboarding skills to clearly communicate technical concepts.
- Ability to design, deploy, and integrate scalable data solutions while working directly with customer stakeholders.
Benefits
- Competitive compensation package aligned with senior-level expertise and market standards.
- Comprehensive benefits and perks tailored to regional offerings.
- Exposure to large-scale, enterprise-grade data and AI projects across industries.
- Opportunities to work with cutting-edge cloud and big data technologies.
- Collaborative, inclusive, and high-performance professional services environment.
- Strong support for continuous learning and technical growth.
Why Apply Through Jobgether
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
