Solutions Architect (Managed Services) (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solutions Architecture, Cloud-Native Platforms, Data Migration, Performance Optimization, Platform Automation, Security Best Practices, Client Engagement, Technical Leadership, SQL, Infrastructure-as-Code, CI/CD Pipelines, Data Integration Tools, AWS, Azure, Snowflake, Mentorship

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Solutions Architect (Managed Services) in India. In this role, you will lead the design, implementation, and optimization of enterprise-scale, cloud-native data platforms, ensuring performance, security, and scalability. You will act as a trusted technical advisor for clients, guiding them through data platform migrations, integrations, and operational improvements. This position involves hands-on architectural work, collaboration with cross-functional teams, and mentoring junior engineers. You will influence platform adoption strategies, troubleshoot complex technical issues, and help clients achieve their business objectives through effective use of Snowflake, AWS, Azure, and related technologies. The role combines technical leadership, operational excellence, and client engagement in a fast-paced, remote-friendly environment with opportunities for professional growth and innovation. Accountabilities Lead the architecture, design, and implementation of cloud-native data platforms and solutions for managed service clients. Guide technical teams through data migration, integration, performance optimization, and platform automation initiatives. Implement best practices for platform security, governance, and compliance, ensuring scalable and robust solutions. Manage multiple client engagements, balancing delivery timelines, resource allocation, and platform ROI. Provide mentorship and technical guidance to junior engineers, fostering a culture of continuous learning and operational excellence. Collaborate with sales, engineering, and support teams to ensure seamless delivery and high client satisfaction. 10+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms. Strong client-facing skills with experience presenting to executive stakeholders and producing detailed solution documentation. Expertise in enterprise data platforms, such as Snowflake, Redshift, and Azure Data Warehouse, with a focus on performance tuning and troubleshooting. Deep knowledge of AWS, Azure, and Snowflake ecosystems, including services like S3, ADLS, Kinesis, Data Factory, DBT, and Kafka. Proficiency in SQL and ability to optimize queries, along with infrastructure-as-code (Terraform, CloudFormation) and CI/CD pipelines (Bitbucket, GitHub). Experience with data integration tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark. Strong problem-solving skills, technical leadership, and operational management experience. Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees or certifications preferred. Preferred: Snowflake SnowPro Core certification, Python proficiency for automation, and experience with automated deployment frameworks such as Flyway or Liquibase. Remote-first work environment with flexibility. Medical insurance coverage for self, family, and parents. Term life and personal accident insurance. Wellness allowance and broadband reimbursement. Structured onboarding bootcamp and continuous professional development opportunities. Paid certifications, professional development allowance, and additional compensation for company-approved content contributions. Inclusive and diverse workplace culture that values collaboration and innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the design, implementation, and optimization of cloud-native data platforms for managed service clients. Act as a trusted technical advisor, guiding clients through migrations and operational improvements.