Software Manager | Transition into Data Engineering

Responsibilities:

• Lead and support engineering teams working on modern data pipelines and data platform solutions.
• Provide technical direction and help shape architecture, delivery, and execution within data-focused initiatives.
• Partner with engineers, architects, analysts, product owners, and business stakeholders to align technical delivery with business goals.
• Drive planning, prioritization, and execution across projects, ensuring predictable delivery and high-quality outcomes.
• Foster strong engineering practices, including code quality, testing, scalability, and operational excellence.
• Support the adoption of software engineering best practices in data-focused environments.
• Coach and mentor team members, helping them grow technically and professionally.
• Contribute to building a collaborative, accountable, and high-performing team culture.
• Help ensure data solutions are reliable, scalable, and ready for analytics and business consumption.
• Support initiatives that enable reporting, analytics, and data-driven decision-making.

Hard Skills:

• Strong experience in software development, ideally in backend or full-stack environments with Python or another backend-oriented programming language.
• Experience leading engineering teams, technical workstreams, or cross-functional initiatives.
• Good working knowledge of SQL.
• Exposure to cloud platforms or modern data ecosystems.
• Familiarity with APIs, integrations, or data-related workflows.
• Exposure to concepts such as ETL/ELT, orchestration, or large-scale data processing.
• Ability to evaluate technical trade-offs and guide teams toward scalable solutions.

Nice to have:

• Exposure to tools such as Databricks, Snowflake, Spark, Airflow, or dbt.
• Previous experience leading initiatives related to data engineering, analytics engineering, or data platforms.
• Experience working in organizations undergoing technical transformation or platform modernization.

Soft Skills:

• Strong leadership mindset and ability to inspire and guide teams through change.
• Genuine interest in building a long-term career path in Data Engineering and data platform leadership.
• Curiosity and willingness to learn new technologies and concepts.
• Strong sense of ownership and accountability.
• Proactive mindset and problem-solving orientation.
• Excellent communication and stakeholder management skills.
• Ability to work effectively in collaborative, cross-functional teams.
• Adaptability and openness to evolving into a new technical domain.
• Comfortable balancing technical depth with people leadership and delivery focus.