Solution Architect

Solution Architect

Overview of the Role

The Data Solution Architect is responsible for defining and owning the architecture of our cloud data platform and providing technical direction across its full lifecycle, from ingestion to analytics, BI, ML and AI. The role leads the data architecture practice within the Data Tribe and sets the overall technical vision for a modern lakehouse platform built on AWS and Databricks, serving multiple brands and markets in a regulated industry.

What You’ll Do

Architecture & Vision

Define the target architecture of the data platform: its main components, data flows, interfaces and integration with operational and external systems. Design the lakehouse and medallion architecture (Bronze/Silver/Gold), including data organisation, isolation and sharing models across brands and markets. Define the coexistence model between Databricks (analytics, BI, ML, AI) and AWS (operational services), including storage, integration and governance boundaries. Establish a clear architectural vision that serves as a common reference for engineering, product and business stakeholders. Data Platform Engineering

Design batch and streaming ingestion patterns (Kafka/MSK, CDC, batch), including real-time and low-latency use cases. Lead the architecture of historical data migration from existing systems (cloud data warehouse and on-premises sources) to the new platform, including cutover and reconciliation strategy. Define data modelling standards, data quality and lineage practices, and table format strategy (Delta / Iceberg). Design data governance and access control (Unity Catalog, Lake Formation, IAM), ensuring market-level isolation and regulatory compliance. Architecture Governance

Own architecture principles, standards and reference architectures. Maintain Architecture Decision Records (ADRs) for significant technical decisions. Lead architecture reviews and ensure solutions follow agreed platform standards. Define and drive adoption of data contracts between data producers and consumers, covering schema, semantics, quality expectations, SLAs and ownership. Leadership & Collaboration

Supervise and guide data engineering teams; review designs and code and provide constructive feedback. Evaluate the existing architecture and work with teams on continuous improvement. Research emerging data technologies and propose architectural changes where they add value. Collaborate with other architects to establish common standards, patterns and principles. Support Programme and Product Managers in defining data strategy, roadmap and capacity allocation for enablement work. Work with vendors and partners (e.g. AWS, Databricks) on architecture reviews and technical decisions. Mentor engineers and help build in-house capability on the new platform.

What You’ll Bring

Working Experience

7+ years in IT/software architecture or senior data engineering, with at least 3–4 years designing cloud data platforms. Proven hands-on experience with AWS data services (S3, Glue, Lake Formation, MSK, Redshift, Athena, Lambda, IAM/KMS). Experience with Databricks (Unity Catalog, Delta Lake, Workflows/DLT, Databricks SQL) is strongly preferred. Experience designing and delivering lakehouse/medallion architectures in production. Experience leading large-scale data migrations (data warehouse and/or on-premises to cloud). Experience with streaming architectures (Kafka, Spark Structured Streaming, Flink) and CDC. Experience performing design and code reviews and establishing engineering standards. Project management or technical leadership experience is an advantage. Standard Qualifications

Expert knowledge of data architecture, data modelling (dimensional, data vault or similar) and distributed data processing. Strong programming skills in Python/PySpark and SQL. Strong knowledge of data governance, security and access control in cloud environments. Knowledge of enterprise and data integration patterns (event-driven, CDC, batch, data sharing). Strong understanding of networking and security principles in cloud environments (VPC, private connectivity, encryption). Infrastructure as Code (Terraform) and CI/CD for data platforms. Business analysis skills: ability to translate business and regulatory requirements into data architecture. Strong organisational and leadership skills. Preferable Qualifications

Databricks and/or AWS certifications (e.g. Databricks Data Engineer Professional, AWS Solutions Architect / Data Analytics). Experience with Apache Iceberg and multi-engine lakehouse setups. Hands-on experience implementing data contracts and schema governance (e.g. schema registry, contract testing in CI/CD). Experience in multi-tenant, multi-region or multi-jurisdiction data platforms. Experience in regulated industries (gambling, fintech, banking) with data residency and audit requirements. Experience enabling BI (Tableau, Databricks SQL) and ML/AI workloads (MLflow, feature stores, GenAI). Knowledge of DR strategies and cost optimisation for cloud data platforms. Personal Attributes

Leadership skills and ownership mindset. Analytical mindset with strong reasoning skills. Ability to balance long-term architectural vision with pragmatic delivery. Strong problem-solving skills. Excellent communication skills, able to explain complex designs to technical and non-technical audiences. Mentoring skills and willingness to grow the team’s capability. About Flutter CEE

We are Flutter Central & Eastern Europe (CEE).

As a proud member of the Flutter family - a global leader in sports betting and iGaming - we are building one of the Group’s most dynamic tech and product hubs in Central and Eastern Europe. We aren’t just here to participate. We’re here to change the game.

By uniting local powerhouses like MaxBet, Adjarabet.com, and Adjarabet.am, we combine deep regional expertise with the scale and strength of Flutter’s global platforms. We’re setting a new standard for entertainment, responsibility, and innovation - powered by real customer signals that shape everything we build.

Settling for the status quo isn’t in our DNA. We build systems designed to scale.

We’re moving faster, thinking bigger, and putting our customers exactly where they belong: at the heart of every decision. We start by listening to our customers and the communities we serve. What we see, hear, and learn become clear signals, and those signals quickly shape product decisions, better experiences, and responsible innovation.

Technology powers our ambition. The Signature System - our operating model - makes our signal-led approach repeatable and scalable across markets. It’s how we move fast and grow with confidence.

As part of Flutter, we benefit from the Group’s collective advantage - the Flutter Edge. It allows us to identify success in one market, replicate it across brands, and implement proven ideas quickly - with customers always at the forefront.

We’re a team of thousands, driven by a challenger mindset and a shared commitment to lead. We are shaping the future of iGaming in Central and Eastern Europe right here, right now, and our technology and product teams are defining what responsible innovation looks like in practice - not just in theory.

We are Flutter Central & Eastern Europe (CEE).

Built on experience. Built to lead.

Local champions. Global infrastructure.

Why choose us

At Flutter CEE, people have access to vast opportunities for career growth and self-development. Our employee benefits package goes far beyond offering the minimum: We support our people in becoming their best version at work and beyond - and our benefits reflect that commitment.

These are some of the benefits included in our employee package:

Generous annual leave  Hybrid work Individual health insurance  Paid sick leave  Family reward Performance & referral bonuses