Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.
We’re looking for experienced engineering leaders, especially those with strong backend or full-stack backgrounds, who are excited to step into the data space and help teams build modern, data-driven solutions.
This is a unique opportunity for managers who want to evolve their careers and bring their leadership, delivery, and technical expertise into modern data platforms and large-scale data initiatives.
As part of this opportunity, the role includes an initial structured training and ramp-up period focused on modern Data Engineering tools, practices, and ecosystem knowledge, including technologies such as Databricks, Snowflake, and other key components of the data stack. This onboarding is designed to help experienced leaders build domain-specific knowledge and transition successfully into data-focused projects while leveraging their existing engineering and management foundation.
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.
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
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