Data Engineer Architect

99X Technology; Snowflake (AZ); Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Engineer & Business Architect in the gaming industry. This fully remote role focuses on data engineering, integrations, and leveraging AI-driven insights. You'll design and optimize data pipelines, implement machine learning solutions, and align data strategies with business goals. Collaborate with a dynamic team to build robust, data-driven solutions while ensuring data governance and quality. If you're passionate about shaping data flows and enhancing analytics, this opportunity is perfect for you.

Qualifications

• Proven experience in data engineering and business architecture with large-scale data.
• Strong proficiency in SQL, Python, or Scala, and modern data frameworks.

Responsibilities

• Design and optimize data pipelines and ETL processes for seamless integration.
• Implement ML/AI solutions to enhance data analytics and business intelligence.

Skills

Data Engineering

Business Architecture

SQL

Python

Scala

Machine Learning

Data Governance

Problem-Solving

Tools

Spark

Kafka

Airflow

AWS

Azure

GCP

Docker

Kubernetes

Snowflake

BigQuery

Redshift

Job description

We are looking for a Senior Data Engineer & Business Architect to join a team working in the gaming industry. This role will focus on data engineering, integrations, ML/AI, and business architecture, shaping how data flows and leveraging AI-driven insights. Work can be fully remote and daily communication will be in English.

Portugal

Responsibilities

Data Engineering & Integration: Design, develop, and optimize data pipelines and ETL processes, ensuring seamless integration of multiple data sources into scalable architectures.
AI & Machine Learning: Implement ML/AI solutions to enhance data analytics, automation, and business intelligence capabilities.
Business Architecture: Align data and AI strategies with business goals, defining how data solutions support operational and strategic objectives.
Data Governance & Quality: Establish best practices for data governance, quality assurance, and compliance with industry standards.
Collaboration & Leadership: Work closely with software engineers, data scientists, and business teams to build robust, data-driven solutions.
Optimization & Performance: Monitor, troubleshoot, and improve data workflows to ensure efficiency and scalability.

Skills & Qualifications

Proven experience in data engineering and business architecture, working with large-scale data processing and integration.
Strong proficiency in SQL, Python, or Scala, and experience with modern data frameworks (Spark, Kafka, Airflow, etc.).
Expertise in ETL, data lakes, and data warehousing (Snowflake, BigQuery, Redshift, etc.).
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
Deep understanding of machine learning concepts and AI-driven analytics.
Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
Excellent English communication skills (written and spoken).

Nice-to-Have

Experience with low-code and RPA solutions (OutSystems, UiPath, Power Automate) is a plus.
Familiarity with DevOps practices and CI/CD pipelines for data workflows.
Exposure to data security and compliance frameworks (GDPR, ISO 27001).

If this sounds like you, share your CV with us, and let’s talk!
[e-mail]