Transforming the Future of Enterprise Planning
At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.
This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.
Senior Technical Architect needed by o9 Solutions, Inc. in Dallas, TX [& various unanticipated locations throughout the U.S.; may telecommute] to Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders to validate, synthesize and transform customer data for integrated business planning and analytics. Review and analyze the data provided by customers along with its technical/functional intent and interdependencies. Participate in the technical design, data requirements gathering, and making recommendations in case of inaccurate or missing data. Design and automate the data loading and insights generation process with intelligent checks and balances for sustained value delivery. Identify and implement performance optimization strategies to enhance data processing and analytics capabilities. Design solutions for the performance problem mechanism regarding various DB technologies within various platforms. Create and execute test plans, document issues and track progress at resolving issues. Provide technical leadership and guidance to development teams, ensuring adherence to architectural principles and best practices. Leverage machine learning for predictive modeling in data architecture performance and business planning. Implement automated data quality checks and anomaly detection using AI algorithms. Utilize Generative AI for synthesizing realistic, anonymized test data. Develop AI-driven resource allocation models to optimize cloud infrastructure costs based on anticipated data workloads. Integrate natural language processing (NLP) capabilities to analyze unstructured data sources for hidden business insights. Minimum Requirements: Requires a Bachelor’s degree, or foreign equivalent degree in Computer Science, Software Engineering, Operations Research, Industrial Engineering, Engineering Management, Electrical Engineering, Electronics Engineering, Business Analytics, Engineering or Information Systems and 6 years of progressive, post-baccalaureate experience in the job offered or 6 years of progressive, post-baccalaureate experience in a related occupation driving the SDLC with key emphasis on architecting, designing, and developing solutions using Big Data Technologies such as Hive; performing ETL development and designing ETL solutions for clients; building data ingress or egress pipelines, handling of huge volume of data and developing data transformation functions using languages such as Python, HQL, Spark; utilizing big data technologies such as Spark, Scala, and Hadoop; utilizing various Hadoop infrastructures such as Map Reduce, Hive, Sqoop, Zookeeper and Oozie; integrating various data sources definitions such as Teradata, SAP ERP, SQL Server, Oracle, ODBC connectors and Flat Files through API or batch; utilizing unix shell scripting; utilizing PL/SQL to write Stored Procedures, Functions and Triggers; utilizing Spark Context, Spark-SQL, Spark YARN to improve the performance and optimization of the existing algorithms in Hadoop; and designing and deploying containerized micro services.
Apply at https://o9solutions.com/careers/ by selecting “Explore all jobs”, entering the requisition number, JR102531, selecting “Search”, opening the requisition, and clicking “Apply”.
More about us…
At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.
With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.
o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Operations Research, Industrial Engineering, Engineering Management, Electrical Engineering, Electronics Engineering, Business Analytics, Engineering or Information Systems (or foreign equivalent)
- 6 years of progressive, post-baccalaureate experience driving the SDLC with emphasis on architecting, designing, and developing solutions
- Experience with Big Data technologies such as Hive
- ETL development and designing ETL solutions for clients
- Building data ingress and egress pipelines and handling very large data volumes
- Developing data transformation functions using Python, HQL, and Spark
- Experience with Spark, Scala, and Hadoop
- Experience with Hadoop infrastructure components: MapReduce, Hive, Sqoop, Zookeeper, and Oozie
- Integrating data sources such as Teradata, SAP ERP, SQL Server, Oracle, ODBC connectors and flat files via API or batch
- Unix shell scripting experience
- Experience writing PL/SQL (Stored Procedures, Functions, Triggers)
- Experience using Spark Context, Spark-SQL, and Spark YARN for performance and optimization
- Designing and deploying containerized microservices
- Performance optimization of data processing and analytics pipelines
- Experience leveraging machine learning for predictive modeling, anomaly detection, and automated data quality checks
- Experience with Generative AI for synthesizing anonymized test data and NLP for analyzing unstructured data
- Experience developing AI-driven resource allocation models to optimize cloud infrastructure costs
o9 Solutions Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about o9 Solutions and has not been reviewed or approved by o9 Solutions.
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Fair & Transparent Compensation — Pay is often characterized as fair or market-aligned, with multiple statements expressing satisfaction with salary levels. Compensation appears competitive in certain roles and departments, contributing to a generally acceptable pay experience for many.
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Leave & Time Off Breadth — Time-off offerings are described as generous, including PTO and, in some places, unlimited PTO framing. Flexibility around time off is positioned as a meaningful component of the overall rewards package.
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Parental & Family Support — Family-oriented benefits are described as a notable strength, including parental leave and childcare-related supports such as FSAs, vouchers, and breastfeeding benefits in some locations. External recognition tied to working-parent support reinforces the perception of family benefits as a differentiator.
o9 Solutions Insights
What We Do
O9 Solutions is a cloud-based business management platform powering digital transformations of integrated planning and operations.







