• Will serve as an IBM MQ Administrator • Responsible for the monitoring, maintenance, and customisation of MQ systems. • Responsible for evaluation, installation, and migration of new versions of MQ software • Analyze and tune MQ performance • Perform MQ problem analysis and provide technical assistance • Develop process and procedures related to MQ’s security, administration, recovery, chargeback, and automation. • Work with application teams to implement messaging solutions to support Enterprise Messaging architecture. • Create and provide daily status reports to the Systems Integration team.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Our client is seeking a Principal Architect or Resident Solutions Architect to join their Professional Services team. This is a highly technical, hands-on role for someone who can operate at the deepest levels of data architecture while communicating clearly and confidently with enterprise clients. The focus is on Databricks and Snowflake, and prior professional services experience at either platform, or a comparable data technology company, is a strong differentiator. As a Principal Architect / Resident Solutions Architect, you will lead client engagements focused on their most complex big data and AI challenges. Working across Databricks and Snowflake, helping clients determine the right platform for their needs, you will own the full arc of delivery: from architecture design through build, deployment, and adoption, while acting as a trusted advisor to engineering teams and executive stakeholders alike. This is a client-facing role. You will report to the Regional Manager/Lead and collaborate closely with engagement managers, project leads, and platform technical teams to deliver outcomes that matter. What You'll Do - Lead Client Engagements - Architect and deploy enterprise-scale data solutions on Databricks and/or Snowflake, including end-to-end design, build, and production deployment - Advise clients on platform selection, evaluating Databricks vs. Snowflake based on workload type, cost, and organizational fit - Partner with engagement managers to scope professional services work and define project success criteria - Guide strategic enterprise clients through transformational data projects and third-party migrations - Serve as the primary technical point of contact for senior stakeholders, translating business goals into architectural decisions - Drive Technical Excellence - Design and implement reference architectures, best-practice guides, and reusable frameworks across Databricks and Snowflake environments - Implement enterprise-grade governance and security, including Unity Catalog on Databricks, and Snowflake's RBAC and data sharing frameworks - Audit and tune Spark clusters, SQL warehouses, and Snowflake virtual warehouses for performance and cloud cost efficiency - Lead the adoption of Generative AI, MLOps workflows, and ML-based solutions across both platforms - Bootstrap or build out customer projects to accelerate platform adoption and time-to-value - Collaborate & Deliver - Work with Engineering and Customer Support to surface product feedback and drive rapid resolution of engagement-specific issues - Provide escalated technical support for customer operational challenges - Maintain clear project documentation and communicate technical decisions to both technical and non-technical audiences Qualifications - 8+ years in data engineering, data platforms, or analytics architecture - 4+ years of hands-on experience delivering enterprise-scale solutions on Databricks and/or Snowflake - Prior experience in a professional services or consulting role at Databricks, Snowflake, or a comparable data platform company is strongly preferred - Strong proficiency with Apache Spark, Delta Lake, and PySpark or Scala (Databricks track) and/or Snowflake SQL, Snowpark, and data sharing features (Snowflake track) - Deep experience with Medallion architecture (Bronze/Silver/Gold) and data modeling (Data Vault, Star Schema) - Strong cloud fluency across two or more platforms (AWS, Azure, GCP), with deep expertise in at least one - Proficiency with CI/CD pipelines and Infrastructure-as-Code tools (Terraform, Jenkins, GitHub Actions) - Working knowledge of MLOps and production ML deployment patterns - Bachelor's degree from a U.S.-based institution preferred, to support alignment with client culture and business environment Soft Skills & Delivery - Must be comfortable working directly with clients, presenting, advising, and communicating confidently in both technical and business conversations - Proven ability to manage project scope, timelines, and client expectations - Exceptional communication skills, able to explain complex architectural decisions to non-technical stakeholders - Experience navigating client relationships, including managing ambiguity and resolving conflicts professionally - Strong documentation and whiteboarding skills Bonus Points - Databricks Solutions Architect Professional certification or Databricks Champion status - Snowflake SnowPro Advanced: Architect certification - BS/MS in Computer Science, Data Science, or equivalent experience Compensation - Salary $150,000-$200,000, DOE - Health, Dental, Vision

• Lead technical discovery with prospects to understand their architecture, challenges, and success criteria. • Design solution architectures across SCM, CI/CD, ticketing, registries, and identity systems. • Deliver compelling demos and proof-of-value (POV) engagements that connect features to tangible outcomes like reduced risk and improved developer velocity. • Build ROI and risk models that clearly quantify Apiiro’s business value. • Partner with Sales to drive the technical win and accelerate the sales cycle. • Collaborate with Customer Success to ensure smooth handoffs and early customer success post-sale. • Support security and compliance reviews, helping customers understand data handling, encryption, and alignment with frameworks. • Provide competitive insights and deal strategy, articulating Apiiro’s unique differentiation in the ASPM market. • Document and share learnings through reusable templates, demo assets, and feedback loops with Product and Engineering.

• Scale and run a Solutions Engineering organization leveraging your past experiences • Global Resource Allocation and Standardize global playbooks while allowing for regional nuance • Create processes, reports, and operating rhythm to help your team and stakeholders • Build the appropriate organizational structures to balance the need for specialization with revenue coverage • Invest in deep, peer-level relationships with Product and Engineering VPs, fostering a culture of mutual respect where SE technical expertise is viewed as a force-multiplier for product success. • Improve processes and eliminate bottlenecks by working cross-functionally in order to get deals across the line • Build appropriate processes, measurement and infrastructure needed to maximize SE productivity and impact • Build strong cross-functional relationships with Sales, Product Marketing, Product Management and Engineering and exercise sound judgement to achieve business objectives • Build technical thought leadership on architecture, processes and operationalization