Director, Enterprise Data Platform
Argentina Remote
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Listed location: Argentina Remote
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingWe are looking for a Director to help lead the design and delivery of cloud-based data platforms across multiple client engagements.
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.
Oversee ETL orchestration strategies using tools such as Data Factory, Airflow, or enterprise ETL platforms.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- 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.
Qualification wording
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.
Tools in this posting
- Databricks
- Snowflake
- Airflow
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
Job description
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
#LI-Hybrid
#LI-MJ1
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.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Argentina Remote
- Must be fluent in English #LI-Hybrid #LI-MJ1
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 9, 2026
- Recorded sightings
- 49
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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