
Role & Responsibilities
You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.
- Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
- Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
- Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
- Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
- Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
- Support self-service analytics by enabling governed data products and semantic layers.
- Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
- Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.
Ideal Candidate
- Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
- 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
- Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
- Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
- Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
- Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
- Excellent problem-solving, documentation, and stakeholder communication skills.
Preferred:
- Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
- Exposure to Snowflake, Databricks, or BigQuery environments.
- Experience in high-tech, manufacturing, or enterprise data modernization programs.

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Location: On-site, Panaji, Goa
About Joyful
Joyful is a leading AI-powered stakeholder communication management platform for voice of stakeholder analysis and contact center solutions. Our mission is to use AI to make all interactions between a company and its stakeholders joyful by removing friction. Joyful is a part of Germinait Solutions Pvt. Ltd.
Our Joyful modules, Engage and Listen, help businesses understand and manage stakeholder interactions across digital channels. We enable companies to provide exceptional customer experiences while maximizing the productivity and efficiency of their support teams, all through one seamless platform.
At Joyful, we're committed to fostering meaningful interactions between stakeholders and brands by providing actionable insights, personalized replies, and a joyful experience for customers, users, and employees alike.
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We're seeking a talented Technical Lead who will play a pivotal role in designing, building, and scaling Joyful’s AI-powered products. In this role, you will lead technical architecture decisions, guide the engineering team, and ensure our platform remains robust, scalable, and delightful to use. You’ll work closely with product, design, and business teams to deliver impactful features while maintaining high code quality and performance.
In addition to technical leadership, you’ll champion Vibe Coding—our approach to writing clean, collaborative, and joyful code that engineers love to create and maintain. This means setting the tone for high-quality, maintainable code while fostering an environment where building software is an energizing, shared experience.
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- A bachelor’s degree, or master’s degree in information technology, computer science, or other relevant education
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- Good knowledge in cloud (AWS) serverless application development, event driven architecture and SQL / No-SQL databases
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MCA / BE /B.Tech Computer Science / IT Proven working experience in software development Working experience in iOS development. Have published one or more iOS apps in the app store A deep familiarity with Objective-C, Swift and Cocoa Touch Experience working git.
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6.) Proficient in Different Design Models & PROS & CONS"
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Multi-year experience in Designing & Coding Applications of a successful Online platform
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Strong desire and ability to look for and adopt best practices/community driven open source framework and technologies into design deliverables
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Experience of driving activities to influence code quality and process rigor
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Knowledge on Cloud Ecosystem - Added Advantage










