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Salary
≈ $29k – $54k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 12+ years exp

First seen by Alion on Oct 21, 2026.

Overview
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Founded in 2019, Codvo.ai is an enterprise artificial intelligence and digital transformation consultancy specializing in product engineering, cloud architecture, and governed AI deployment. Headquartered in Plano, Texas, United States, the enterprise serves organizations across the financial services, healthcare, retail, and industrial sectors. Powered by its NeIO operational platform, it enables businesses to transition from AI experimentation to production-ready, industry-specific automated workflows with built-in governance, compliance, and security controls.

Role : Databricks Architect

CODVO.AI is looking for an experienced Databricks Architect to design, implement, and optimize scalable enterprise data solutions. The role involves leading data architecture initiatives, developing high-performance data pipelines, and guiding engineering teams in building secure, cost-effective data platforms.

Key Responsibilities :

- Design enterprise-grade data lakes, lakehouses, and analytics platforms using Databricks.

- Develop and optimize data pipelines using Apache Spark, Delta Lake, Python, and SQL.

- Lead data engineering projects across architecture, implementation, and deployment.

- Establish best practices for data governance, security, performance, and cost optimization.

- Troubleshoot complex technical challenges and provide architectural guidance to engineering teams and clients.

- Mentor engineers, conduct code reviews, and promote effective data engineering practices.

- Collaborate with business and technical stakeholders to align data architecture with organizational requirements.

Required Skills and Experience :

- 12+ years of overall professional experience, with at least 3 years of hands-on experience in Databricks and data engineering.

- Strong proficiency in Apache Spark, Python, and SQL.

- Experience designing and managing ETL/ELT pipelines.

- Expertise in Delta Lake and data lakehouse architecture.

- Understanding of data governance, data security, and performance optimization.

- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

- Databricks Associate or Professional certification.

- Strong problem-solving, communication, and stakeholder-management skills.

- Ability to provide technical leadership and architectural direction to engineering teams.

Role Expectations :

The candidate will lead enterprise data architecture and engineering initiatives, ensuring scalable, secure, high-performing, and cost-effective data platforms while supporting technical teams and client requirements.

Skills

Data Engineering, Databricks, Apache Spark, Python, SQL, Delta Lake, ETL, Cloud, Data Architect, Data Management, Data Services

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