Allata - Software Manager
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Requirements
• 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. • 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. • 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 • At Allata, we value differences.
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.
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