Data Architect

Data Architect
The iGaming industry is becoming more and more demanding when it comes to data expectations. Therefore, it is becoming increasingly important to execute the most efficient architectures for our products.

As a Big Data Architect, you will be involved from the early stages of drafting technical solutions tied within the Big Data team within the Data Engineering Team. Throughout the software life cycle, you will draft architectures together with the Lead Big Data Engineer, Enterprise Data Architect and Lead BI to come up with the best possible architectures. You will also be involved in using your experience to size efforts of large tasks accordingly and this will be key for other key roles within the team.

Key Responsibilities

Responsibilities
Assesses as-is the current data platform, defines future state platform together with the BDE team lead. Performs gap analysis to drive the future state data platform (including implementation) with frequent discussions with internal parties such as the team lead, enterprise architect, data governance and data-devops.
Understands leading/emerging Big Data technologies and trends on the market and can communicate these effectively to a wide audience.
Clearly communicates any updates, new technologies or practises with the team lead and the BDE team in a clear manner.
Ensures that the BDE adheres to best practices, this ensures that coding standards and the accuracy, validity, and reusability of data is maintained.
Excellent working SQL knowledge and experience with both relational and columnar databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Collaboration with key stakeholders for specific research, work effort sizing.
Expected outcomes:
Supports the team in refinement sessions to estimate better
Supports the Lead Big Data Engineer to draft works that can be inclusive of all the team to avoid silos
Provide input in project planning
Supports team to be able to contribute to peer reviewing collectively

Requirements

Data Design & Architecture
Data modeling and schema design.
Experience designing data warehouses, data lakes, and data schemas.
Deep understanding of data flows, lifecycle, and enterprise data frameworks.
Databases & Data Management
Proficiency in relational and non-relational databases (SQL, NoSQL).
Strong hands-on knowledge of ETL/ELT tools, data integration, and data pipelines.
Familiarity with data governance, lineage, and metadata management.
Cloud & Big Data Technologies
Experience with cloud data platforms (AWS, Azure, GCP) and related services
Understanding of modern data stacks and streaming technologies.
Security & Compliance
Knowledge of data privacy, security frameworks, and regulatory compliance.
Ability to design secure architectures and implement data protection strategies.

Benefits

Great career development opportunities
Hybrid working model
International Health Insurance
Health and Wellbeing Package (350 EUR per year)
Birthday Day Off
Me Time - 1 day off per year

About Gaming Innovation Group

We are an award-winning iGaming platform and sportsbook provider supplying industry-leading solutions to our partners and their players. We specialise in helping online and land-based operators expand their iGaming and sports betting business on a global scale, focusing on innovation and customisation to power localised customer experiences and intimate user journeys. As a regulated markets specialist, we offer compliant entry into 36+ complex regulated markets around the world.

Our powerful iGaming platform is built to be scalable, open and user-centric, rapidly integrating with our partners' existing tech and preferred third parties. It provides a personalised user experience through our suite of real-time marketing tools, real-time data, and real-time rules engine, allowing our partners to build their own automated bespoke rules, without the need for coding knowledge.

Our sportsbook is built mobile-first and provides a premium player experience through our Bet builder, comprehensive Live betting capabilities and Player props. Our partners benefit from tailored odds, personalised margins, and risk management strategy, increasing the players’ personalised experience. Our partners benefit from an in-house trading team available 24/7 through direct communication channels, delivering unparalleled agility and service to all our partners, around the clock.

Our Hiring Process

Stage 6:

Last Interview

Stage 7:

Reference Check

Stage 8:

Offer

Stage 1:

Applied

Stage 2:

Talent Acquisition Interview

Stage 3:

Hiring Manager Interview

Stage 4:

Take Home Test

Stage 5:

Interview with Team Members

Stage 6:

Last Interview

Stage 7:

Reference Check

Stage 8:

Offer

Stage 1:

Applied

Stage 2:

Talent Acquisition Interview

Stage 3:

Hiring Manager Interview

Stage 4:

Take Home Test

Stage 5:

Interview with Team Members

Stage 6:

Last Interview

Stage 7:

Reference Check

Stage 8:

Offer

1

2

3

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Department

Technology

Employment Type

Full Time

Location

Barcelona

Workplace type

Hybrid

Reporting To

Vronsky Bartolo