Join Our Team Together, we're helping enterprises realize the true value of their data. Infoworks is a pioneering cloud data operations and orchestration platform, revolutionizing traditional data engineering tasks through automation. Our technology reshapes how enterprises approach data operations and analytics, empowering them with agility and efficiency.
Why Join Us? At Infoworks, we foster a culture of innovation and excellence. Joining us means being part of a team of brilliant minds dedicated to delivering exceptional results. You'll have the opportunity to work on a game-changing distributed system that is reshaping industries worldwide. Additionally, you'll enjoy the benefits of a startup environment combined with the stability of our well-funded organization.
Opportunity Overview We are scaling our Customer Solutions Engineering team who are the primary technical resource for the pre-sales and post-sales delivery teams and are responsible for actively guiding and driving our product value and adoption, playing the role of key technical advisor and product advocate. The Customer Solution Engineer must be able to identify and provide reliable solutions to assure customer success through all stages of the sales and delivery process.
Who You Are Skilled in data management, data warehousing, data orchestration, and data integration technologies. Passionate, self-motivated, and organized to learn and apply new technologies to craft solutions meeting customer needs. Understand and enjoy working with big data and data technologies from databases, ETL, data governance, and business intelligence tools. Thrive in an environment where you can take ownership of a variety of projects and drive them through to completion. Enjoy working independently in a startup environment. A builder of solutions based on a true understanding of customer requirements demonstrating feasibility of the application, often requiring rapid prototyping and/or presenting product solutions to customers. What You'll Do Be our Infoworks product expert. Provide subject matter expertise (SME) to various stakeholders regarding the product and various Big Data/Data Engineering stacks. Build and implement scalable data engineering solutions on either On-Prem, Cloud, or Hybrid infrastructures which are highly complex and rely on various other technologies like Spark, Snowflake, Databricks, etc. Identify and enhance end-to-end feature velocity for data extraction, transformation, and orchestration to optimize enterprise data pipelines/workflows. Build and productionalize automated solutions that translate into cost saving for both internal and external teams. Develop tools and features to support operations and maintenance. Maintain and understand relevant industry trends and current knowledge of the big data ecosystems deployed by various large enterprises. Perform technical/product training for salespeople, estimators, and engineers at targeted accounts. Resolve customer issues or difficulties in a manner that is consistent with the company mission and financial objectives. Required Skills and Experience Bachelor of Computer Science or equivalent. 4+ years of experience in Python, Java, Scala, and Spark. 3+ years of experience in RDBMS (e.g. Snowflake, BigQuery, Oracle, SQL Server, etc.) and NoSQL. 3+ years of implementing complex data pipelines in one of the major Cloud providers. Cloud Engineering/Architect Certification from one of the Cloud Service Providers. Preferred Skills Experience with industry leading data integration tools such as Informatica, Talend, Fivetran, Matillion, Azure Data Factory, and AWS Glue is a plus. Knowledge of Kubernetes fundamentals. If you're passionate about solving complex distributed system challenges and eager to make an impact in a dynamic startup environment, we want to hear from you. Apply now and be part of our journey to redefine data operations and analytics.
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