Data Solutions Architect

We are looking for you!

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.

Skills And Experience You Can Bring To This Role

Qualifications & experience:

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

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

Data Solutions Architect

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