
Director, Enterprise Data Platform
Ankura · Argentina · Remote
- Professional Services
- 1,001–5,000 employees
- New York, NY
All reasons
- Open 58 days
In its favour
- Still listed on the employer's own board
Ankura is a team of excellence founded on innovation and growth.
Practice Overview
Ankura’s Digital Transformation practice helps clients modernize their organizations by leveraging data, analytics, automation, and artificial intelligence to drive measurable business outcomes. Our data engineering and data science experts design and develop enterprise data platforms that unify trusted data and provide the scalable foundation for reporting, advanced analytics, automation, and AI.
Role Overview
We are looking for a Director to help lead the design and delivery of cloud-based data platforms across multiple client engagements. This role combines deep technical expertise with delivery ownership, architectural decision-making, and team leadership. The Director will act as a trusted advisor, ensuring data platforms are scalable, reliable, and aligned with business strategy. This role is based in Buenos Aires. This position will be employed via a 3rd party payroll and will be Director level equivalent within Ankura’s structure.
Responsibilities
- Define and own the architecture of cloud-based data platforms across client engagements.
- Lead large-scale ETL and data platform implementations using tools such as Databricks, Snowflake, and equivalent technologies.
- Establish reference architectures, delivery standards, and engineering best practices.
- Oversee ETL orchestration strategies using tools such as Data Factory, Airflow, or enterprise ETL platforms.
- Estimate, plan, and govern delivery across multiple projects and workstreams.
- Partner with client stakeholders to align data platform design with business objectives.
- Mentor, coach, and develop data engineers and technical leads.
- Ensure platforms meet expectations for scalability, reliability, security, and cost efficiency.
- Support pre-sales activities, including solution design and technical estimates.
Qualifications
- 8+ years of experience in data engineering, with significant leadership responsibility.
- Proven experience designing and delivering enterprise-grade cloud data platforms.
- Deep expertise with ETL / orchestration tools (e.g., Data Factory, Airflow, Informatica, or similar).
- Strong experience with analytics and processing platforms such as Databricks, Snowflake, or equivalents.
- Demonstrated ability to estimate, plan, and govern complex delivery programs.
- Strong understanding of data architecture, governance, and security principles.
- Excellent communication skills and experience in senior, client-facing roles.
- Strong business acumen and results-oriented mindset.
- Preferred to have experience leading multi-team or multi-vendor delivery models
- Preferred to have exposure to advanced analytics, machine learning pipelines, or real-time processing.
- Cloud or platform certifications (any major provider) is preferred
- Must be fluent in English
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Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.
Skills
- ETL
- Databricks
- Snowflake
- Azure Data Factory
- Airflow
- Informatica
- Machine Learning
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