SoTalent
Company:
https://www.linkedin.com/company/sotalentjobs
Seniority: Mid-Senior level
Industries: Staffing and Recruiting
Job details:
Lead – Data Solutions & Analytics | Bengaluru, India | Hybrid
A leading global organization is seeking a Lead – Data Solutions & Analytics to lead a data engineering support team and drive the development, optimization, and operational reliability of modern data solutions across an Azure-based data platform.
This is a leadership-focused role combining Azure data engineering, analytics, production support, data governance, automation, and people management. The position will work closely with data engineers, business stakeholders, Azure specialists, project teams, and other technical functions to deliver secure, scalable, and reliable data products.
Key Responsibilities
- Lead a Data Engineering Support team responsible for building, supporting, and optimizing data solutions and analytical products.
- Design and manage data integration solutions, data lakes, warehouses, pipelines, and analytical systems across Azure.
- Develop and optimize pipelines using Azure Data Factory, Azure Databricks, PySpark/Spark SQL, Azure Data Lake, Azure Synapse, and Azure SQL.
- Develop complex SQL/T-SQL queries, stored procedures, data validation processes, and performance optimization solutions.
- Deploy and support production data pipelines, including monitoring, incident management, troubleshooting, and continuous improvement.
- Establish automation, observability, alerting, operational KPIs, and data-quality monitoring frameworks.
- Lead major incident management, root-cause analysis, CAPA, and FMEA processes.
- Establish and maintain governance, compliance, security, and operational support standards.
- Develop data models and analytical frameworks supporting reporting and business decision-making.
- Partner with data asset, capability, engineering, and business teams to identify appropriate data sources and develop effective data architectures.
- Support testing and validation activities to ensure data pipeline reliability and performance.
- Apply DevOps, DataOps, and Agile methodologies, including Git/Bitbucket and CI/CD through Azure DevOps or Jenkins.
- Work with Azure specialists and cross-functional teams to scope and develop customer-facing solutions, tools, modules, and proof-of-concepts.
- Act as a subject matter expert on Azure data engineering and contribute to the adoption of modern data engineering practices.
- Mentor team members and drive continuous improvement across processes, technology, and support capabilities.
- Present insights, recommendations, and performance metrics to stakeholders and senior leadership.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or a related field.
- 6–8 years of relevant experience in Azure Data Engineering and Power BI.
- Proven experience leading or managing Data Engineering teams.
- Strong hands-on experience with:
- Azure Databricks
- PySpark / Spark SQL
- Azure Data Factory
- Azure Data Lake
- Azure Synapse
- Azure SQL
- SQL / T-SQL
- Data modelling and performance tuning
- Experience with production support, major incident management, RCA, CAPA, and FMEA.
- Understanding of cloud architecture, scalability, reliability, security, and data governance.
- Experience with version control and CI/CD tools such as Bitbucket, Jenkins, or Azure DevOps.
- Strong problem-solving, critical thinking, time-management, presentation, and stakeholder-management skills.
- Strong leadership and people-management capabilities.
- Ability to work effectively across technical, business, and cross-functional teams.
Preferred
- Azure Data Engineer Associate certification (DP-203).
- Databricks Data Engineer Associate or Professional certification.
- Experience designing and delivering end-to-end cloud data solutions.
- Strong scripting, programming, and data-modelling capabilities.
- Experience implementing DevOps/DataOps practices within data engineering environments.
Location: Bengaluru, India
Work Model: Hybrid
Schedule: Flexible shifts, with potential rotational/night-shift coverage depending on operational requirements.
Click on Apply to know more.
