Senior Technical/Architect Manager

Tekskills; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tekskills is seeking a senior Data Engineer to lead AI/ML initiatives across cloud and on-premise environments. You will architect analytics platforms, oversee data pipelines and MLOps, and collaborate with cross-functional teams to align data strategy with business goals.

You will mentor engineers, drive cost-efficiency in cloud workloads, and evaluate new technologies for enterprise adoption, ensuring governance and security across platforms.

Qualifications

• Lead the design and implementation of AI/ML solutions across cloud and on-prem environments.
• Architect and manage open analytics platforms (e.g., Databricks, Snowflake, Apache Spark, Microsoft Fabric)
• Oversee data pipelines, model lifecycle, and MLOps practices
• Collaborate with cross-functional teams to align data strategy with business goals
• Ensure robust data governance, security, and compliance across platforms
• Mentor junior engineers and foster a culture of innovation and experimentation
• Evaluate emerging technologies and integrate them into the enterprise stack
• Drive performance optimization and cost-efficiency in cloud-based AI workloads

Responsibilities

• Lead the design and implementation of AI/ML solutions across cloud and on-prem environments
• Architect and manage open analytics platforms (e.g., Databricks, Snowflake, Apache Spark, Microsoft Fabric)
• Oversee data pipelines, model lifecycle, and MLOps practices
• Collaborate with cross-functional teams to align data strategy with business goals
• Ensure robust data governance, security, and compliance across platforms
• Mentor junior engineers and foster a culture of innovation and experimentation
• Evaluate emerging technologies and integrate them into the enterprise stack
• Drive performance optimization and cost-efficiency in cloud-based AI workloads

Skills

Data engineering

AI/ML development

Technical leadership

Python

SQL

CI/CD concepts

Tools

Spark

Databricks

Snowflake

Microsoft Fabric

Azure

AWS

GCP

ETL/ELT pipelines

Docker

Kubernetes

Purview

Unity Catalog

Job description

Key Responsibilities

• Lead the design and implementation of AI/ML solutions across cloud and on-prem environments
• Architect and manage open analytics platforms (e.g., Databricks, Snowflake, Apache Spark, Microsoft Fabric)
• Oversee data pipelines, model lifecycle, and MLOps practices
• Collaborate with cross-functional teams to align data strategy with business goals
• Ensure robust data governance, security, and compliance across platforms
• Mentor junior engineers and foster a culture of innovation and experimentation
• Evaluate emerging technologies and integrate them into the enterprise stack
• Drive performance optimization and cost-efficiency in cloud-based AI workloads

Required Skills & Experience

• 7-8 years in data engineering, AI/ML development, or technical leadership roles
• Proven hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong command of open analytics tools: Spark, Databricks, Snowflake, Microsoft Fabric
• Expertise in cloud platforms: Azure, AWS, or GCP
• Experience with data lake architecture, ETL/ELT pipelines, and real-time analytics
• Familiarity with data governance tools (e.g., Microsoft Purview, Unity Catalog)
• Proficiency in Python, SQL, and scripting for automation
• Strong understanding of MLOps, CI/CD, and containerization (Docker, Kubernetes)
• Excellent communication and stakeholder management skills