o9 Solutions, Inc

Senior Technical Architect

o9 Solutions, Inc$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field
  • 6 years of experience in technical architecture and data engineering
  • Proficiency in Big Data Technologies like Hive and Spark
  • Experience with ETL development and data pipelines
  • Familiarity with various Hadoop infrastructures such as Map Reduce and Hive
  • Strong programming skills in Python, HQL, and Unix Shell Scripting
  • Ability to design and deploy containerized microservices

Responsibilities

  • Collaborate with cross-functional teams for data synthesis and transformation
  • Review and analyze customer data and its technical intent
  • Design automated data loading and insights processes
  • Identify and implement optimization strategies for data processing
  • Provide technical leadership and enforce architectural best practices
  • Leverage machine learning for predictive modeling in data architecture
  • Integrate natural language processing to analyze unstructured data

Benefits

  • Telecommuting options available
  • Opportunities for professional development and growth
  • Collaborative work environment with cross-functional teams
  • Access to cutting-edge technologies like AI and machine learning
  • Focus on performance optimization and innovative solutions
Full Job Description
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".

About o9 Solutions, Inc

o9 Solutions is a leading provider of AI-powered integrated planning and operations solutions. The company's platform enables organizations to achieve digital planning transformation by breaking down silos, optimizing end-to-end processes, and providing real-time visibility into the entire supply chain. o9 Solutions serves clients across various industries, including retail, consumer goods, manufacturing, and logistics.
Learn more about o9 Solutions, Inc
Size
500 employees
Industry
Founded
2009

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