Senior Technical Lead - Data & AI (Oil & Gas)
Quick Summary
Senior Technical Lead (Data & AI) / Delivery Owner (Category – Principal Engineer / Technical Lead) Sector: Oil and Gas Location: Pune, India
• Technical Leadership & Mentorship: Lead, mentor, and provide technical direction to a multi-disciplinary team of engineers (Data, DevOps, Security). Foster a culture of high technical standards, collaboration, and continuous improvement.
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
Responsibilities
~1 min read• Technical Leadership & Mentorship: Lead, mentor, and provide technical direction to a multi-disciplinary team of engineers (Data, DevOps, Security). Foster a culture of high technical standards, collaboration, and continuous improvement.
• Detailed Solution Design: Partner with the Solutions Architect and Project Manager to decompose high-level architecture into detailed technical designs, actionable tasks, and implementation plans for the engineering team.
• Hands-on Development: Act as the lead engineer, personally designing and building the most complex components of the solution, including data pipelines, IaC modules, and CI/CD frameworks.
• Cross-Functional Integration: Drive the seamless integration of diverse systems, including OT data from historians (OSIsoft PI), data platforms (Databricks), cloud infrastructure (Azure), and CI/CD pipelines (Azure DevOps).
• Technical Governance & Quality: Enforce technical best practices across all domains. Conduct rigorous code reviews, design reviews, and security assessments. Ensure all solutions adhere to "security-by-design" principles, CI/CD automation standards, and data governance policies.
• Stakeholder Collaboration: Translate complex technical concepts and risks to the Project Manager and business stakeholders. Manage technical dependencies and help the PM with accurate effort estimation and milestone tracking.
• Problem Solving: Serve as the primary escalation point for the team's most complex technical challenges, leading root cause analysis and implementing robust, long-term solutions.
Requirements
~1 min read• Experience: 12+ years in technical roles, with at least 4+ years in a technical leadership or principal engineer capacity, managing cross-functional engineering teams.
• Cloud Expertise: Expert-level, hands-on knowledge of Microsoft Azure as a primary platform.
• Data & AI Expertise:
o Proven mastery of Databricks and Apache Spark (PySpark).
o Extensive experience designing and building large-scale ETL/ELT data pipelines.
o Strong understanding of AI/ML workflows and data requirements for industrial AI use cases.
• DevOps & IaC Expertise:
o Deep proficiency with Infrastructure as Code (Terraform, ARM templates).
o Hands-on mastery of Kubernetes and containerization (Docker).
o Proven experience building and managing complex CI/CD pipelines (Azure DevOps, Jenkins).
• Cloud Security: Strong, practical knowledge of cloud network security (VNETs, NSGs, Firewalls) and identity management (Azure Key Vault, IAM).
• Industry Knowledge:
o Experience in the Oil & Gas sector or a similar heavy-industry/critical infrastructure environment.
o Demonstrable experience with OT data sources (e.g., OSIsoft PI, SCADA, historians).
• Leadership: Proven ability to mentor senior engineers, manage technical debt, and make critical design trade-offs.
Nice to Have
~1 min read• Multi-cloud experience, particularly GCP.
• Professional Certifications (e.g., Azure Solutions Architect Expert, Databricks Certified Data Engineer).
• Experience with SAP integration.
• Familiarity with the OSDU™ Data Platform.
• Knowledge of graph databases or vector databases.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 6, 2026
Signal breakdown
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