Sr Data Engineer

Job Summary

This role is responsible for leveraging business intelligence, data analytics, data modeling, and big data technologies to transform complex data into actionable insights that support strategic decision-making. The individual will help improve business performance, optimize operations, identify market opportunities, and deliver data-driven solutions that create competitive advantage.

Additionally, the role ensures effective information management across the organization by supporting the creation, storage, governance, and maintenance of data throughout its lifecycle, enabling secure and efficient access, sharing, and use of information across teams, systems, and business functions.

What you ll be doing

• Design and implement Lakehouse-based data architectures, including Medallion Architecture (Bronze, Silver, Gold layers), using configuration-driven and reusable frameworks to support multiple product teams.
• Build, optimize, and maintain high-volume, high-velocity, and high-variety data pipelines for both batch and streaming workloads using Azure Databricks, Databricks, PySpark, and SQL.
• Lead the design and development of data ingestion pipelines, data lake storage solutions, transformation notebooks, physical data models, tabular models, APIs/endpoints, and data visualization solutions.
• Partner with business and product stakeholders to gather functional requirements, user stories, and product backlog items (PBIs), translating them into scalable technical solutions.
• Define technical architecture, establish engineering standards, and provide technical direction across data engineering initiatives.
• Develop and maintain reusable data engineering frameworks to improve scalability, consistency, and maintainability across projects.
• Implement and support enterprise-grade data governance, quality, security, and performance optimization practices.
• Collaborate with cross-functional teams, including Data Science, Analytics, and AI teams, to enable advanced analytics and AI-driven solutions.
• Utilize Databricks Mosaic AI, LangGraph, or similar GenAI frameworks within enterprise guardrails to enhance data engineering workflows and accelerate solution delivery.
• Mentor and guide junior engineers, conduct design reviews, and promote best practices in data engineering and software development.

What we need from you

• Bachelors Degree in Information Technology, Computer Science, Computer Engineering, Software Engineering, Data Science, Information Systems, or a related field.
• With at least 8-12 years of experience in Data Engineering, Data Platform Development, Data Warehousing, or related data and analytics roles.
• Strong hands-on experience with:
  • Databricks
  • Azure Databricks
  • Databricks Mosaic AI
  • PySpark
  • SQL
  • Transformation Notebooks
  • Lakehouse Architecture
  • Medallion Architecture
• Proven experience designing and implementing scalable enterprise data platforms and large-scale data pipelines.
• Experience with both batch and real-time/streaming data processing frameworks.
• Strong knowledge of data modeling, ETL/ELT design patterns, and cloud-based data storage solutions.
• Experience working with GenAI frameworks and platforms within enterprise environments and governance standards.
• Excellent stakeholder management, requirements gathering, and technical leadership skills.
• Strong analytical, problem-solving, and communication skills.
• Experience in the Energy, Oil & Gas, Utilities, or related industry is highly preferred.
• Required Certifications: Databricks Certified Data Engineer Professional (Mandatory)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.