About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Resident Solution Architect based in India.
Responsibilities
- Act as a trusted technical advisor to enterprise customers, understanding their business objectives and translating them into practical data and AI solutions.
- Gather and analyze customer technical requirements and design scalable, secure, and maintainable data architectures.
- Design and implement modern Lakehouse and Data + AI architectures using Databricks and associated platform capabilities.
- Develop and guide proof-of-concepts, technical workshops, architecture demonstrations, and solution evaluations.
- Work extensively with Apache Spark, PySpark, SQL, and Databricks to build and optimize data engineering solutions.
- Design scalable data ingestion, transformation, processing, and analytics pipelines.
- Leverage technologies such as Delta Lake and Unity Catalog to support reliable, governed, and scalable data platforms.
- Support data migration, modernization, and cloud transformation initiatives.
- Integrate data platforms with AWS, Azure, or GCP and provide guidance on cloud architecture and deployment strategies.
- Troubleshoot performance, scalability, reliability, and data pipeline challenges across customer environments.
- Collaborate with customer engineering, data science, architecture, and leadership teams to drive successful technical outcomes.
- Provide technical recommendations across data engineering, analytics, machine learning, AI, governance, and cloud architecture.
- Create reference architectures, technical documentation, implementation guidance, and other reusable technical assets.
- Support production deployments and help customers successfully adopt and scale data platform solutions.
- Conduct enablement sessions, knowledge-sharing activities, and technical presentations for customer and internal teams.
Requirements
- 9+ years of professional experience in data engineering, software engineering, solution architecture, or closely related technical disciplines.
- Strong hands-on expertise with Databricks, Apache Spark/PySpark, SQL, and modern data engineering practices.
- Proven experience designing and implementing data pipelines, data platforms, Lakehouse architectures, data warehouses, or large-scale data processing environments.
- Strong understanding of data engineering fundamentals, including ingestion, transformation, processing, storage, data quality, scalability, and reliability.
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Demonstrated solution architecture and technical design experience, with the ability to translate complex customer requirements into scalable technical solutions.
- Strong customer-facing and consulting experience, ideally working directly with enterprise engineering, data, architecture, and leadership stakeholders.
- Excellent communication and presentation skills, with the ability to lead workshops, explain complex technical concepts, and influence technical decisions.
- Strong Python skills and practical experience applying programming to data engineering or analytics solutions.
- Experience with Delta Lake, Unity Catalog, MLflow, Kafka, streaming, data migration, MLOps, machine learning, GenAI, data governance, Terraform, CI/CD, Snowflake, or the Hadoop ecosystem is advantageous.
- Strong troubleshooting and problem-solving skills, particularly around data pipelines, performance, scalability, and production environments.
- Ability to work independently in a remote environment while managing multiple customer engagements and technical priorities.
Conditions
- Fully remote position for candidates based in India.
- Full-time employment with an annual compensation range of ₹35,00,000–₹60,00,000, depending on experience and skills.
- Opportunity to work directly with enterprise customers on complex data, AI, and cloud transformation initiatives.
- Hands-on exposure to Databricks, Apache Spark, Lakehouse architecture, cloud data platforms, and modern Data + AI technologies.
- Significant involvement across the full solution lifecycle, from discovery and POCs through production deployment and adoption.
- Opportunities to lead technical workshops, architecture engagements, enablement sessions, and customer-facing initiatives.
- Exposure to AWS, Azure, and GCP environments and a broad range of modern data technologies.
- Opportunity to influence architecture decisions and provide strategic technical guidance to enterprise customers.
- Remote-first working environment with flexibility and autonomy.
- Professional growth through challenging architecture, consulting, data engineering, and AI projects.