Resident Solution Architect
New
J
JobgetherData and AI
Fully remote position for candidates based in India.Full-TimeSenior
Salary3,500,000 - 6,000,000 INR per year
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Job Details
- Experience
- 9+ years of professional experience in data engineering, software engineering, solution architecture, or closely related technical disciplines.
- Required Skills
- PythonSQLData engineeringSparkDatabricksPySpark
Requirements
- Have 9+ years of professional experience in data engineering, software engineering, solution architecture, or a closely related technical discipline.
- Bring strong hands-on expertise with Databricks, Apache Spark/PySpark, SQL, and modern data engineering practices.
- Have experience designing and implementing data pipelines, data platforms, Lakehouse architectures, data warehouses, or large-scale data processing environments.
- Understand data ingestion, transformation, processing, storage, data quality, scalability, and reliability.
- Have experience with at least one major cloud platform: AWS, Azure, or GCP.
- Have solution architecture and technical design experience, translating customer requirements into scalable technical solutions.
- Bring customer-facing and consulting experience, ideally with enterprise engineering, data, architecture, and leadership stakeholders.
- Have strong Python skills and practical programming experience in data engineering or analytics.
- Be able to lead workshops, explain complex technical concepts, and influence technical decisions.
- Have troubleshooting and problem-solving skills related to data pipelines, performance, scalability, and production environments.
- Be able to work independently in a remote environment while managing multiple customer engagements and technical priorities.
- 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.
Responsibilities
- Act as a technical advisor to enterprise customers and translate business objectives into data and AI solutions.
- Gather customer technical requirements and design scalable, secure, and maintainable data architectures.
- Design and implement Lakehouse and Data + AI architectures using Databricks.
- Develop and guide proofs of concept, technical workshops, architecture demonstrations, and solution evaluations.
- Build and optimize data engineering solutions with Apache Spark, PySpark, SQL, and Databricks.
- Design data ingestion, transformation, processing, and analytics pipelines.
- Integrate data platforms with AWS, Azure, or GCP and advise on cloud architecture and deployment.
- Troubleshoot performance, scalability, reliability, and data pipeline issues.
- Create reference architectures, technical documentation, and implementation guidance.
- Support production deployments, customer adoption, and technical enablement.
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