Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Solutions Architect in India.

In this role, you will lead the design and implementation of end-to-end data solutions for enterprise clients, ensuring performance, scalability, security, and robust integration. You will collaborate closely with engineering teams, clients, and stakeholders to translate business requirements into technical architectures that leverage modern cloud platforms and data technologies. The position involves mentoring engineers, providing technical leadership, and delivering detailed documentation and presentations. You will work with a diverse range of tools across cloud platforms, data storage, integration pipelines, and orchestration frameworks. This role is ideal for a hands-on, client-facing professional who thrives in a dynamic, high-growth, remote-first environment and enjoys solving complex data challenges at scale.

Accountabilities:

• Design, implement, and optimize end-to-end data solutions using modern cloud and distributed platforms
• Collaborate with clients and internal teams to understand requirements and translate them into technical architectures
• Lead technical discussions, create proofs of concept, and develop detailed solution documentation, including roadmaps, sequence diagrams, and system views
• Mentor and guide other engineers, promoting best practices and high-quality delivery
• Ensure solutions meet performance, security, scalability, and reliability standards
• Deliver presentations and demos to clients, articulating complex technical concepts clearly
• Work across multiple platforms, data sources, and integration technologies to build robust and automated data pipelines

Requirements:

• 10+ years of experience as a hands-on Solutions Architect or Data Engineer designing and implementing enterprise data solutions
• Programming proficiency in Java, Python, and/or Scala
• Strong experience with cloud platforms (AWS, Azure, GCP) and data platforms (Snowflake, Databricks, Spark)
• Expertise in SQL, including writing, debugging, and optimizing queries
• Experience with data integration, transformation, and workflow orchestration tools such as Kafka, Fivetran, Matillion, dbt, or Airflow
• Client-facing experience with strong written and verbal communication skills
• Proven ability to create detailed technical documentation and solution designs
• Bachelor’s degree in Computer Science or a related field
• Experience with multiple data storage solutions (relational, NoSQL, file-based, or search platforms) is a plus
• Familiarity with the complete software development lifecycle including testing and deployment

Benefits:

• Remote-first work environment with flexibility to work from home
• Medical insurance coverage for self, family, and parents
• Term life and personal accident insurance
• Wellness allowance and broadband reimbursement
• Continuous learning and professional development opportunities, including paid certifications
• Bonuses for contributions to company-approved content and knowledge sharing
• Inclusive, diverse, and supportive culture with opportunities for career 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!

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.

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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.

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