Senior Data Engineering Manager

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🕒 June 12

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Technoidentity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

💼 Consulting

🔌 API

🤖 Artificial Intelligence

Consulting • API • Artificial Intelligence

Technoidentity is a technology company that specializes in developing innovative applications for a variety of sectors, leveraging Big Data, Cloud Computing, and the Internet of Things. They focus on creating robust, modern solutions that enable businesses to solve problems and seize new opportunities, particularly within the fintech space. Technoidentity is committed to driving digital transformation and enhancing business performance through advanced technology and a strong consulting approach.

📋 Description

• Lead and manage a pod of data engineers working on Core Datasets pipelines, providing technical and logical guidance on pipeline design, data modeling, and architecture decisions • Own and maintain a healthy, prioritized Jira backlog; manage sprint planning, dependency tracking, and delivery milestones to ensure engineers always have clear, unblocked work • Partner closely with finance and non finance stakeholders to gather, document, and prioritize data requirements; collaborate with non-finance teams to deliver analytics and data pipelines as needed • Review and validate pipeline logic, data quality rules, and transformation specs authored by the engineering team • Ensure pipelines are designed to scale and align with the company's evolving data infrastructure, including the migration to Data Morph • Quickly triage and mobilize the right team members when pipeline failures occur • Balance roadmap items across finance-related and non-finance data pipelines to ensure continuous, well-sequenced delivery • In parallel, work with DE on AI Ideation, experimentation, POCs maturing them to production ready deliverables.

🎯 Requirements

• Proven experience managing or leading a team of data engineers • Strong technical fluency in pipeline design, data modeling, and data quality practices • Demonstrated ability to own and manage a complex, multi-stakeholder engineering roadmap • Experience with sprint planning, backlog management, and delivery tracking (Jira or equivalent) • High level business understanding of finance processes around Treasury Intercompany, Collections, Revenue Operations, Cash Operations, Indirect Taxes. • Familiarity with big data file formats like Hive, Iceberg • Basic understanding of coding platforms/ languages like Spark/ Scala, Data Morph, dbt, or similar transformation frameworks is a plus • Excellent cross-functional communication skills — able to partner effectively with finance and non-finance stakeholders to translate business needs into engineering requirements • Comfortable operating in a fast-paced environment with shifting priorities and multiple concurrent workstreams.

🏖️ Benefits

• Professional development opportunities