Jobgether
Website:
jobgether.com
Company:
https://www.linkedin.com/company/jobgether
Seniority: Not Applicable
Industries: Internet Marketplace Platforms
Job details:
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Solution Architect – Managed Services based in India.
This is a senior technical leadership role focused on designing and operating large-scale, cloud-native data platforms for global enterprise clients.
You will combine deep data engineering expertise with strategic consulting and hands-on architectural leadership.
The role spans modern data ecosystems across Snowflake, AWS, Azure, Databricks, and a broad range of integration and orchestration technologies.
You will translate complex business requirements into secure, scalable, and high-performing platform architectures while driving measurable client outcomes.
As a trusted technical advisor, you will work directly with senior stakeholders, lead architecture discussions, and influence long-term data platform strategies.
You will also mentor engineering teams and contribute to reusable frameworks, accelerators, and managed-services best practices.
This opportunity is ideal for an experienced cloud data leader who thrives in complex client environments and enjoys combining architecture, delivery, and technical innovation.
Accountabilities
- Own the architecture, provisioning, operationalisation, and continuous improvement of cloud-native data platforms across AWS, Azure, and modern data ecosystems.
- Translate complex client requirements into scalable, secure, reliable, and high-performing data platform architectures.
- Lead the design and delivery of solutions leveraging technologies such as Snowflake, Fivetran, dbt, Matillion, Azure Data Factory, and other modern data-stack platforms.
- Manage multiple client engagements and technical environments simultaneously, ensuring delivery remains on time, within scope, and aligned with measurable business outcomes.
- Analyse complex customer environments, define and prioritise Epics, Stories, and Tasks, and drive initiatives that mature and improve data platforms.
- Identify opportunities to automate, optimise, modernise, and expand client platform capabilities and managed-service offerings.
- Lead technical teams responsible for modern data platforms spanning data warehouses, data lakes, streaming, analytics, and distributed data technologies.
- Provide technical leadership during client workshops, discovery sessions, architecture reviews, and solution-design discussions.
- Advise clients on technology selection and architecture decisions with a focus on performance, security, scalability, reliability, and user experience.
- Establish high-quality engineering standards through code reviews, technical documentation, governance, performance tuning, and operational best practices.
- Act as a trusted advisor to senior and executive client stakeholders, helping shape data-platform roadmaps and long-term strategic initiatives.
- Mentor and coach engineers, delegate effectively, and foster a culture of technical excellence, learning, feedback, and continuous improvement.
- Partner with practice and account leadership to identify opportunities for engagement expansion and standardise successful delivery patterns.
- Contribute to internal intellectual property, accelerators, delivery frameworks, technical playbooks, and reusable engineering assets.
- Lead detailed technical presentations and architecture recommendations for both technical and executive audiences.
- Represent the organisation professionally in all client interactions and communicate effectively with stakeholders across different levels and functions.
Requirements
- 10+ years of experience in data platform engineering, architecture, managed services, or related technical disciplines, with substantial hands-on experience in enterprise cloud environments.
- Advanced expertise in cloud data platforms, particularly Snowflake, AWS, Azure, and/or Databricks.
- Extensive experience architecting and providing operational guidance for enterprise cloud data warehouses such as Snowflake and/or Amazon Redshift.
- Strong production experience with cloud and distributed data-storage technologies, including S3, ADLS, Cassandra, or comparable NoSQL platforms.
- Hands-on experience with modern data integration and streaming technologies such as Spark, Kafka, Matillion, Fivetran, HVR, AWS Database Migration Service, Azure Data Factory, or equivalent platforms.
- Strong knowledge of workflow orchestration technologies such as Airflow, AWS Managed Airflow, or Luigi.
- Advanced SQL skills, including the ability to write, debug, optimise, and troubleshoot complex queries.
- Extensive experience with Infrastructure as Code using Terraform, CloudFormation, or comparable technologies.
- Experience developing automation for repetitive administrative and operational tasks using Python or a similar programming language.
- Strong understanding of CI/CD practices and experience with tools such as Bitbucket, GitHub, Flyway, and Liquibase.
- Exceptional troubleshooting and performance-tuning skills across complex, multi-technology environments.
- Demonstrated experience delivering projects for external clients within professional services, consulting, managed services, or similar environments.
- Ability to break complex technical and business problems into structured, actionable solutions and drive them through to resolution.
- Excellent written and verbal English communication skills, including the ability to create and deliver technical presentations to executive audiences.
- Proven experience as a technical team lead, including mentoring, coaching, delegation, and engineering talent development.
- Demonstrated ability to work effectively across distributed, cross-functional, and geographically diverse teams.
- Strong ownership and organisational skills, with a proven ability to manage multiple priorities and deliver high-quality outcomes with minimal supervision.
- Comfortable operating in ambiguous and fast-paced environments while proactively identifying opportunities to improve processes and technical solutions.
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Snowflake SnowPro Core or Advanced Certification is preferred.
- Experience with data visualisation tools and exposure to data science or machine-learning platform operations is an advantage.
- Experience across multiple industries or business domains within managed services or platform operations is desirable.
- Previous experience working with global or remote teams across US, LATAM, and/or India time zones is a plus.
- Contributions to open-source projects, technical publications, conference presentations, or internal technical accelerators are valued.
Benefits
- Remote-first working environment for candidates based in India.
- Opportunity to work with a globally distributed team across India, Latin America, and the United States.
- Exposure to large-scale enterprise data and AI transformation initiatives across multiple industries.
- Opportunity to work with leading cloud and data technologies including Snowflake, AWS, Azure, Databricks, Fivetran, dbt, and modern AI platforms.
- Medical insurance coverage for employees and their families.
- Medical insurance coverage for parents.
- Term life insurance and personal accident coverage.
- Wellness allowance.
- Broadband reimbursement.
- Continuous learning and professional development opportunities.
- Paid professional certifications to support technical growth.
- Professional development allowance.
- Bonuses for creating approved technical or thought-leadership content.
- Access to challenging client engagements and opportunities to influence enterprise data strategies.
- Strong opportunities for mentorship, technical leadership, and long-term career development.
- Flexible working environment designed to support collaboration across global time zones.
- Opportunity to contribute to technical accelerators, reusable frameworks, and internal intellectual property.
How Jobgether Works
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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