Database Development Manager

Job title: Data Engineering Manager

Department: Saisystems Health Engineering & Product

Location – Pune (Work from Office): Sprint Workspace Wakadewadi. Old Mumbai - Pune Hwy, Narveer Tanaji Wadi, Shivajinagar, Pune, Maharashtra 411005 (no remote/hybrid work)

Job overview:

We are seeking a highly experienced and strategic Data Engineering Manager to lead our data development and analytics initiatives. This role will be responsible for architecting and optimizing data solutions across relational and non-relational databases, managing a cross-functional data team, and implementing scalable BI and reporting frameworks. The ideal candidate will bring deep technical expertise, strong leadership capabilities, and a passion for turning data into business value.

Responsibilities & Duties:

• Lead the development, implementation, and optimization of relational and non-relational databases to support business and application needs.
• Manage and mentor a team of database developers, data engineers, and BI professionals.
• Design and implement scalable data models, ETL pipelines, and enterprise-level reporting systems.
• Collaborate with cross-functional stakeholders to understand business requirements and deliver actionable insights.
• Administer database performance tuning, backup strategies, and implement security protocols.
• Define and enforce standards for data governance, data quality, and security.
• Implement and manage Business Intelligence tools such as Power BI, Tableau, or similar platforms.
• Translate complex business needs into technical reporting solutions, dashboards, and data visualizations.
• Stay abreast of the latest trends in data engineering, cloud databases, and analytics technologies to drive innovation.

Required Qualifications:

Experience: Minimum 10 years of experience in database development and data management. At least 3 years in a team leadership or managerial role, overseeing data or BI teams.

Technical Skills:

• Strong command of SQL, stored procedures, indexing strategies, and performance optimization techniques.
• Hands-on experience with Business Intelligence tools (e.g., Power BI, Tableau, QlikView, Looker).
• Proficient in ETL tools and data integration platforms such as SSRS, SSIS, and Azure Data Lake.
• Experience designing and maintaining data warehouse solutions and dimensional modeling.
• Experience working with Azure cloud services for data management and analytics.
• Familiar with best practices in database security, backup, and disaster recovery.

Preferred Qualifications:

• Experience with DevOps practices for data projects, including CI/CD pipelines and version control.
• Certifications in BI platforms or cloud database technologies (e.g., Azure Data Engineer, Tableau Certified).

Key Performance Indicators:

• Delivery of scalable, secure, and high-performance data solutions aligned with business needs.
• High adoption and usability of dashboards, reports, and analytics solutions.
• Consistent performance tuning improvements across all data services.
• Effective data governance practices resulting in high data quality and reliability.
• Team performance and growth through effective leadership and mentoring.

Competencies:

• Strong analytical and problem-solving skills with a strategic mindset.
• Proven ability to plan, execute, and lead large-scale data initiatives.
• Effective leadership and mentoring capabilities for guiding cross-functional teams.
• Business acumen to understand and prioritize organizational needs through data.
• Excellent verbal and written communication skills for working with both technical and non-technical stakeholders.

Other Requirements:

• Passion for innovation and applying modern data tools and practices.
• Strong focus on building new data solutions rather than legacy system maintenance.

This role offers the opportunity to lead impactful and forward-thinking data initiatives, working with modern cloud technologies and advanced BI tools in a dynamic and collaborative environment. You’ll play a key role in shaping our data strategy, building scalable analytics solutions, and driving innovation that directly supports critical business decisions and growth.