<p><p><b>Job Title : </b>Lead / Architect Data Engineer<br/><br/><b>Location : </b>Pune / Bangalore / Hyderabad (Hybrid or Remote flexibility)<br/><br/><b>Experience : </b>8+ years (with at least 3+ years in a lead/architect capacity)<br/><br/><b>Employment Type : Full-time</b><br/><br/><b>About the Role :</b></p><p><p><b><br/></b></p>We are seeking a Lead/Architect Data Engineer to design, architect, and lead implementation of modern data platforms and pipelines.
This role requires hands-on expertise in Azure, DBT, Airflow, Python, SQL, and Snowflake, with the ability to provide architectural guidance, mentor team members, and drive best practices in data engineering.<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>Solution Architecture & Design :</p><p><br/>- Define and implement scalable data architectures on Azure cloud.<br/><br/></p><p>- Design ELT/ETL pipelines leveraging Airflow and DBT for workflow orchestration and data transformations.<br/><br/></p><p>- Optimize Snowflake usage (warehouses, performance tuning, cost & Strategy :</p><p><br/></p><p>- Lead a team of data engineers, ensuring high-quality delivery and adherence to best practices.<br/><br/></p><p>- Partner with product, analytics, and business stakeholders to translate requirements into data engineering solutions.<br/><br/></p><p>- Establish coding, CI/CD, and DevOps standards for data pipelines.<br/><br/></p><p>- Hands-on Development & Optimization<br/><br/></p><p>- Develop robust, reusable, and efficient data pipelines in Python and SQL.<br/><br/></p><p>- Implement monitoring, logging, and alerting for pipeline health.<br/><br/></p><p>- Ensure security, compliance, and governance in data solutions.<br/><br/></p><p>Innovation & Scaling :</p><p><br/>- Explore and introduce new tools/technologies to improve data workflows.<br/><br/></p><p>- Contribute to the roadmap for data infrastructure evolution.<br/><br/><b>Must-Have Skills :</b></p><p><p><br/></p>- 8+ years of experience in Data Engineering, with 3+ years in a lead or architect role.<br/><br/></p><p>- Strong expertise in SQL, DBT, Airflow, and Python.<br/><br/></p><p>- Proven experience in Snowflake (data modeling, performance tuning, best practices).<br/><br/></p><p>- Hands-on experience with Azure Data Services (ADLS, ADF, Synapse, Event Hub, etc.).<br/><br/></p><p>- Experience designing scalable and fault-tolerant data architectures.<br/><br/></p><p>- Strong understanding of data warehousing, ELT/ETL patterns, and distributed systems.<br/><br/><b>Good to Have :</b></p><p><p><b><br/></b></p>- Experience with Azure Kubernetes Service (AKS) and containerized data solutions.<br/><br/></p><p>- Exposure to real-time/streaming data frameworks (Kafka, Event Hub, etc.).<br/><br/></p><p>- Familiarity with data governance, cataloging, and security best practices.<br/><br/></p><p>- Experience in mentoring teams and conducting architecture reviews.<br/><br/><b>Soft Skills :</b></p><p><p><b><br/></b></p>- Excellent problem-solving and critical-thinking abilities.<br/><br/></p><p>- Strong communication and stakeholder management skills.<br/><br/></p><p>- Ability to work independently and in a collaborative team environment.<br/><br/></p><p>- Proven track record of leading end-to-end data engineering initiatives.</p><p><br/></p><p><p><b>Why Join Us?</b></p><p><br/></p>- Opportunity to lead modern cloud-first data engineering projects.<br/><br/></p><p>- Work with a talented and collaborative team driving data innovation.<br/><br/></p><p>- Freedom to experiment with the latest tools in data engineering and cloud.<br/><br/></p><p>- Competitive compensation and growth-oriented career path.</p><br/></p> (ref:hirist.tech)