Job Title: Senior Data Engineer
Experience: 6–12 Years
Location: Bengaluru
Notice Period: Immediate or 15days

Job Summary
We are seeking an experienced and visionary Lead Data Engineer to lead enterprise-scale data engineering initiatives and drive the design, implementation, and modernization of cloud-native data platforms. The ideal candidate will have extensive experience in defining enterprise data architecture, leading high-performing engineering teams, and delivering scalable data solutions using modern cloud technologies. This role requires strong technical leadership, architectural expertise, and the ability to collaborate with cross-functional teams and business stakeholders.

Key Responsibilities

- Define and implement enterprise data architecture aligned with business and technology strategies.

- Lead multiple data engineering teams across complex enterprise projects and cloud transformation initiatives.

- Design, build, and optimize scalable cloud-native data platforms and modern data ecosystems.

- Architect and implement Lakehouse solutions using industry best practices.

- Drive enterprise-wide data governance, data quality, metadata management, and security initiatives.

- Review solution architecture, technical designs, and code to ensure adherence to engineering standards and best practices.

- Collaborate with Solution Architects, Product Owners, Business Analysts, and stakeholders to translate business requirements into scalable technical solutions.

- Ensure platform reliability, scalability, performance, and operational excellence.

- Champion automation, CI/CD, Infrastructure as Code (IaC), and DataOps best practices.

- Mentor and coach data engineers, fostering technical excellence and continuous learning.

- Identify opportunities for process improvements and technology modernization.

- Provide technical leadership throughout the software development lifecycle,



from design through deployment and support.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

- 6–12 years of experience in Data Engineering, Data Platform Development, or Cloud Data Architecture.

- Proven experience leading enterprise-scale data engineering programs and cloud migration initiatives.

- Strong expertise in designing scalable, secure, and high-performance data platforms.

- Demonstrated experience leading and mentoring technical teams.

- Strong understanding of data modeling, data warehousing, Lakehouse architecture, and distributed data processing.

- Excellent analytical, problem-solving, and decision-making skills.

- Outstanding communication, stakeholder management, and client-facing skills.

Preferred Qualifications

- Experience with enterprise data governance frameworks and metadata management solutions.

- Knowledge of real-time streaming and event-driven architectures.

- Experience with Infrastructure as Code (Terraform), containerization, and orchestration technologies.

- Azure certifications or cloud architecture certifications are highly desirable.

- Familiarity with Agile, Scrum, and modern software engineering practices.

RequirementsRequired Technical Skills

- Robust programming expertise in Python and Scala

- Extensive experience with Apache Spark

- Hands-on experience with Databricks

- Strong knowledge of Snowflake

- Experience with Apache Kafka and event-driven data architectures

- Deep expertise in Microsoft Azure cloud services

- Hands-on experience with:
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Data Lake Storage

- Strong understanding of CI/CD pipelines and DevOps practices

- Experience implementing DataOps methodologies

- Knowledge of Terraform or other Infrastructure as Code (IaC) tools is highly preferred

📌 Senior Data Engineer (Bengaluru)
🏢 Evnek Technologies
📍 Bengaluru