Technical Architect

Be part of something revolutionary

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.

We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet.
 

About the role...

We are seeking a highly skilled and experienced Technical Architect specializing in Big Data Technologies within the supply chain domain. As a Technical Architect, you will play a crucial role in designing, implementing, and optimizing big data solutions tailored to meet the unique challenges and requirements of the supply chain industry. You will collaborate closely with cross-functional teams to ensure the successful delivery of innovative and scalable data solutions that drive operational efficiencies and strategic insights.

What you’ll do for us…

Architectural Design: Ability to architect end-to-end ETL solutions, including data ingestion, transformation, storage, and consumption layers, aligned with business requirements and industry best practices. Preferably in Supply Chain Domain

Technology Evaluation: Stay abreast of the latest advancements in big data technologies and evaluate their suitability for addressing specific supply chain challenges. Recommend tools, frameworks, and platforms to enhance data processing, analysis, and visualization capabilities.

Data Integration: Design robust data integration strategies to consolidate and harmonize data from disparate sources within the supply chain ecosystem, including ERP systems, IoT devices, logistics providers, and external data feeds.

Data Modeling: Define and implement appropriate data models, schemas, and structures to support efficient storage, retrieval, and analysis of supply chain data. Apply best practices for data modeling in distributed and real-time processing environments.

Performance Optimization: Identify performance bottlenecks and optimization opportunities within big data pipelines and workflows. Collaborate with development teams to implement optimizations and fine-tune system configurations for improved throughput and latency.

Security and Compliance: Ensure that big data solutions adhere to industry standards and regulatory requirements related to data security, privacy, and compliance. Implement encryption, access controls, and auditing mechanisms to safeguard sensitive supply chain data.

Scalability and Resilience: Design scalable and fault-tolerant architectures that can accommodate growing volumes of supply chain data and withstand system failures or disruptions. Implement clustering, replication, and data partitioning techniques to enhance scalability and resilience.

Collaboration and Communication: Work closely with stakeholders across business, IT, and data science teams to understand their requirements, priorities, and pain points. Communicate technical concepts and architectural decisions effectively to both technical and non-technical audiences.

What you’ll have…

Education: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

• 15+ years of overall IT experience with a demonstrated track record of major solution design/architecture contributions in a large enterprise. Preferably in Supply Chain Domain

• Minimum of 5 years in the customer facing roles with a strong focus on data/integration operations

• Expertise in ETL (Extract, Transform, Load) tools such as Informatica PowerCenter, IBM DataStage, Talend, Microsoft SSIS (SQL Server Integration Services), or Apache NiFi/Airflow and ability to design and implement complex transformation in Python, Spark, Microsoft SQL, Spark-SQL, JOLT transformation.

• Proficiency in data modeling techniques, including dimensional modeling, star schema, snowflake schema, and data vault modeling.

• Deep understanding of distributed computing principles, data management concepts, and big data ecosystem components (e.g., Hadoop, Spark, Kafka, Apache Delta Lake).

• Strong understanding of various integration methodologies via batch using various data formats (CSV, XML, JSON, and Parquet), and hands-on experience in Rest APIs, 

• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes), code management tools and frameworks (e.g., Ci/CD, Git) for understanding and managing big data solutions.

• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.

• Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and influence decision-making.

• Certifications in relevant technologies (e.g., AWS Certified Solutions Architect, Cloudera Certified Professional) are a plus.

More about us… 

With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.

Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.

Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto.

o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law.