QBrainX is seeking an experienced Engineering Manager – Data Strategy & Analytics to lead the design, development, and execution of scalable data platforms and analytics solutions.
1. Data Strategy & Architecture
Define and execute the organization’s data strategy roadmap aligned with business objectives.
Design scalable, secure, and high-performance data architectures leveraging Snowflake and Google Cloud Platform (Google Cloud Platform).
Establish best practices for data modeling, data governance, and data quality frameworks.
Lead modernization initiatives including migration to cloud-native data platforms.
2. Hands-On Engineering Leadership
Act as a player-coach: actively contribute to design, code reviews, and troubleshooting.
Build and optimize data pipelines, ELT/ETL workflows, and real-time data processing systems.
Ensure efficient use of Snowflake (performance tuning, cost optimization, data sharing, security).
Leverage Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer.
3. Problem Identification & Solution Design
Proactively identify engineering bottlenecks, scalability issues, and technical debt.
Translate ambiguous business problems into structured engineering solutions.
4. Team Leadership & Offshore Management
Lead and manage a team of Data Analytics Engineers, including an offshore team based in India.
Establish clear ownership models, SLAs, and delivery expectations across geographies.
Drive agile delivery processes, sprint planning, and backlog prioritization.
Mentor team members, conduct performance reviews, and foster career growth.
Ensure strong communication governance between onshore and offshore teams.
5. Stakeholder Collaboration
Partner with business stakeholders, product managers, and leadership to align data initiatives.
Translate business requirements into technical specifications and scalable solutions.
Provide regular updates on roadmap progress, risks, and outcomes.
Qualifications
Experience with real-time data streaming (Kafka, Pub/Sub).
Knowledge of data visualization tools (Looker, DOMO).
Familiarity with ML/AI data pipelines.
Experience in cost optimization strategies for cloud data platforms.
Prior experience in consulting or client-facing roles
Strong expertise in Engineering Management and Team Leadership to guide and inspire diverse teams
Proficiency in Software Development and Integration with hands-on experience in delivering technical solutions
Proven ability in Project Management to oversee timelines, resources, and outcomes effectively
Excellent communication and collaboration skills to liaise with stakeholders and team members
Experience working in global and cross-functional teams is a plus
Bachelor''s degree in Computer Science, Engineering, or related field; advanced degree preferred
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