Data Tech Lead Sonata Software
Sonata Software
Office Location
Full Time
Experience: 10 - 10 years required
Pay:
Salary Information not included
Type: Full Time
Location: Karnataka
Skills: Data Engineering, data architecture, Leadership, SQL, Python, spark, Power Bi, JIRA, Agile methodologies, Git, Microsoft Fabric, data pipelines, Data Design, Azure Data Services, DevOps practices, CICD pipelines, Infrastructure As Code
About Sonata Software
Job Description
Title Data Tech Lead Experience 10+ years Education Bachelors degree in IT or a related field. Location Bengaluru, India Certifications Microsoft Certified: Azure Data Engineer Associate (Good to Have) Job Summary We are looking for a highly experienced Data Tech Lead with 10+ years of expertise in data engineering, data architecture, and leadership. The ideal candidate should have a strong background in Microsoft Fabric, SQL, data pipelines, and data design, along with hands-on experience in leading data teams, designing scalable data solutions, and driving enterprise data strategies. The candidate must also possess relevant certifications and demonstrate proficiency in cloud-based data services, automation, and best practices. Skills (Must Have) 10+ years of experience in data engineering, data architecture, or data platform development Expertise in Microsoft Fabric, including One Lake, Dataflows, and Synapse Strong proficiency in SQL, database optimization, and query performance tuning Extensive experience with data pipeline design (ETL/ELT), data integration, and automation Deep understanding of data modelling, data warehousing, and big data frameworks Hands on experience with Azure Data Services (Azure Data Factory, Synapse Analytics, Data Lake, Databricks, etc.) Proficiency in Python, Spark, or Power BI for data processing and analytics Strong leadership, problem-solving, and decision-making skills Experience with JIRA, Agile methodologies, and DevOps practices for data engineering Knowledge of CI/CD pipelines, version control (Git), and Infrastructure as Code (IaC) in cloud environments Skills (Nice to Have) Experience with JIRA and Agile methodologies Experience with AI-driven data processing and automation Exposure to real-time streaming data architectures (Kafka, Event Hubs, etc.) Strong communication and stakeholder management skills Key Job Responsibilities Lead and mentor a team of data engineers in designing and implementing scalable, high-performance data solutions Architect and develop robust data pipelines (ETL/ELT) and workflows using Microsoft Fabric and other data engineering tools Oversee data modelling, data warehousing, and data integration strategies to support analytics and business intelligence Optimize SQL-based solutions for performance, scalability, and security Define and enforce data governance, data quality, and security best practices Collaborate with cross-functional teams to align data architecture with business goals Lead cloud data migration and modernization initiatives, particularly in Azure environments Stay updated with emerging data technologies and industry trends, recommending improvements for data platforms Ensure adherence to Agile methodologies and project timelines,