Data Solutions Architect

Job description

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Overview

We are seeking a Data Solutions Architect with deep expertise in data platform design, AdTech systems integration, and data pipeline development for the advertising and media industry.

This role requires strong technical knowledge in both real-time and batch data processing, with hands-on experience in building scalable, high-performance data architectures across demand-side and sell-side platforms.

As a client-facing technical expert, you will play a key role in project delivery, presales process, technical workshops, and project kick-offs, ensuring that our clients receive best-in-class solutions tailored to their business needs.

Responsibilities

• Architect and implement end-to-end data solutions for advertising and media clients, integrating with DSPs, SSPs, DMPs, CDPs, and other AdTech systems;
• Design and optimize data platforms, ensuring efficient data ingestion, transformation, and storage for both batch and real-time processing;
• Build scalable, secure, and high-performance data pipelines that handle large-scale structured and unstructured data from multiple sources;
• Work closely with client stakeholders to define technical requirements, guide solution designs, and align data strategies with business goals;
• Lead technical discovery sessions, workshops, and presales engagements, acting as a trusted technical advisor to clients;
• Ensure data governance, security, and compliance best practices are implemented within the data architecture;
• Collaborate with data science and machine learning teams, designing data pipelines that support model training, feature engineering, and analytics workflows.
  
  

Qualifications

• 5+ years of experience in designing and implementing data architectures and pipelines for media and advertising industries that align with business goals, ensure scalability, security, and performance;
• Hands-on expertise with cloud-native and enterprise data platforms, including Snowflake, Databricks, and cloud-native warehousing solutions like AWS Redshift, Azure Synapse, or Google BigQuery;
• Proficiency in Python, Scala, or Java for building data pipelines and ETL workflows;
• Hands-on experience with data engineering tools and frameworks such as Apache Kafka, Apache Spark, Airflow, dbt, or Flink.
  
  Batch and stream processing architecture;
• Experience working with and good understanding of relational and non-relational databases (SQL, NoSQL(document-oriented, key-value, columnar stores, etc.);
• Experience in data modelling: Ability to create conceptual, logical, and physical data models;
• Experience designing solutions for one or more cloud providers (AWS, GCP, Azure) and their data engineering services;
• Experience in client-facing technical roles, including presales, workshops, and solutioning discussions;
• Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  
  

Nice to have

• Experience working with AI and machine learning teams, integration of ML models into enterprise data pipelines: model fine-tuning, RAG, MLOps, LLMOps;
• Knowledge of privacy-first architectures and data compliance standards in advertising (e.g., GDPR, CCPA);
• Knowledge of data integration tools such as Apache Airflow, Talend, Informatica, and MuleSoft for connecting disparate systems;
• Exposure to real-time bidding (RTB) systems and audience segmentation strategies.
  
  

What Impact You’ll Make

• Architect and implement end-to-end data solutions for advertising and media clients, integrating with DSPs, SSPs, DMPs, CDPs, and other AdTech systems;
• Design and optimize data platforms, ensuring efficient data ingestion, transformation, and storage for both batch and real-time processing;
• Build scalable, secure, and high-performance data pipelines that handle large-scale structured and unstructured data from multiple sources;
• Work closely with client stakeholders to define technical requirements, guide solution designs, and align data strategies with business goals;
• Lead technical discovery sessions, workshops, and presales engagements, acting as a trusted technical advisor to clients;
• Ensure data governance, security, and compliance best practices are implemented within the data architecture;
• Collaborate with data science and machine learning teams, designing data pipelines that support model training, feature engineering, and analytics workflows.
  
  

What You’ll Get

We offer a wide array of benefits including flexible working (hybrid/remote models) and generous time off policies to help you thrive.

Our program also includes an extensive reward and compensation package, health insurance, and unique travel opportunities.

You will be part of a warm, multinational environment with mentorship, training programs, and opportunities for career development.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting

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Required Skill Profession

Arquitectura Y Diseño De Software