Lead Software Engineer, Data Integration (Supply Chain, ERP Integration)

PLEASE READ BEFORE APPLY:
• WE WILL ONLY CONSIDER CANDIDATES COMING FROM B2B SAAS OR CONSUMER INTERNET COMPANIES (THINK SIMILAR TO SALESFORCE, WORKDAY, INTUIT, ATLASSIAN, WALMART, AMAZON)
• WE WILL NOT CONSIDER ANY EXPERIENCE FROM IT OR DIGITAL TRANSFORMATION CONSULTANCIES (EXAMPLES OF THE WRONG COMPANIES WOULD BE TATA, INFOSYS, COGNIZANT, IBM GLOBAL SERVICES)

We are disrupting the supply chain planning industry with our AI-driven demand planning and inventory replenishment software. The total addressable market (TAM) for supply chain management (SCM) software is substantial and growing rapidly. In 2023, the global SCM software market was valued at approximately $28.+ billion and is projected to reach $45.2 billion by 2027, reflecting a compound annual growth rate (CAGR) of around +.4% during the forecast period.

We specifically target the rapidly growing segment of the supply chain management (SCM) industry: small and medium-sized businesses (SMBs). This focus has become even more pertinent in light of the supply chain disruptions caused by COVID-1+. SMBs now have access to technological advantages previously exclusive to large enterprise companies like Walmart, Amazon, Lowe's, and Home Depot, who have invested hundreds of millions into these technologies.

In this role, you will be responsible for designing, implementing, and deploying the next-generation platform tightly integrated with Amazon AWS services such as EMR, Athena, Glue, and Spark. You will develop an ultra-real-time, AI-driven demand planning engine to help Blue Ridge serve industries that manage perishable items, including food manufacturing, restaurants, grocery stores, pharmaceuticals, and more.

If you are passionate about leveraging machine learning and AI technologies to solve complex supply chain challenges, this is the perfect opportunity for you.

Fast Facts About Our Company:

• Employee Count: 500+, 58 in Engineering (6 in the US and 52 in Pune India)

• Customer Count: 200+

• Revenue: $25.0M in ARR (and growing fast)

• Profitable: Yes

Job Description:

As a Lead Data Engineer, you will play a crucial role in building a scalable data platform that powers advanced supply chain solutions and next-generation AI applications. The role involves working on both legacy systems and modern cloud-based platforms to help scale the data infrastructure. You will collaborate with a team of data engineers and work closely with data scientists, machine learning engineers, and software developers to optimize data performance and build a platform that supports the adoption of Generative AI (GenAI) technologies. You will be responsible for building and optimizing distributed computing frameworks, involving functional business logic, and focusing on distributing jobs to the lowest unit possible to achieve infinite scale.

Job Responsibilities:
• Design, develop, and implement data integration solutions for customers during the implementation and go-live phases.
• Collaborate directly with customers to understand their ERP systems, data sources, and integration requirements, and develop tailored solutions to ensure smooth data integration.
• Work with various ERP systems such as NetSuite, Epicor, P21, Salesforce.com, and Microsoft CRM/Dynamics to create integration strategies that leverage their available capabilities.
• Work with partners to augment staff needs and leverage their knowledge or expertise to address any gaps in capabilities.
• Handle data extraction, transformation, and loading (ETL) from multiple ERP sources, using tools such as Apache Nifi, Talend, or AWS Glue, providing solutions to merge data from disparate systems.
• Design and implement flat file-based integrations, including CSV, XML, and other formats, to enable seamless data exchange.
• Provide expertise on API-based integrations for ERPs that support them, including training and guiding customers to address any skill gaps in using these APIs effectively.
• Collaborate with internal product and engineering teams to improve the integration capabilities of our supply chain solutions.
• Develop best practices, documentation, and reusable tools that help streamline future integrations and reduce friction for our customers.
• Support customers with data validation, ensuring data quality, consistency, and accuracy during and after integration.
• Provide creative solutions to data integration challenges, especially for customers with multiple ERPs and limited IT resources.

Position Details:
• Role: Technical Architect, Data Integration
• Location: Pune, India (Remote options available anywhere in India)

Experience:
• Experience with supply chain management and familiarity with supply chain concepts such as inventory optimization and demand planning.
• Hands-on experience working with integration tools such as Mulesoft, Dell Boomi, or similar.
• Experience working with customers in SMB environments, understanding their unique challenges and providing practical solutions.
• AWS, GCP, or Azure certifications related to data integration or cloud architecture.

Required Experience:
• 5+ years of experience in data integration, technical consulting, or ERP implementation roles.
• Strong understanding of data integration methodologies, including ETL processes, flat file handling, and API integrations.
• Experience working with ERP systems such as NetSuite, Epicor, P21, Salesforce.com, and Microsoft CRM/Dynamics, with a focus on data extraction and integration.
• Hands-on experience in integrating multiple ERP systems, addressing challenges related to disparate data sources, and providing creative solutions for merging data.
• Proficiency in working with flat files (CSV, XML, JSON) for data integration purposes, including data validation and transformation.
• Familiarity with cloud platforms (e.g., AWS, Azure) and their data integration tools and services.
• Strong problem-solving skills and the ability to work independently to develop solutions tailored to specific customer needs.
• Excellent communication skills, with the ability to effectively collaborate with customers and cross-functional teams.
• Ability to guide and educate customers who may not have in-house technical expertise, helping them understand integration processes and overcome challenges.

Required Education:
• Bachelor's or Master's degree in Data Science, Computer Science, Operations Research, Statistics, or a related field.