Solutions Architect - Manufacturing - job 1 of 3

As a Solutions Architect - Manufacturing at Databricks, you'll be primarily responsible for leading multiple clients as the main technical voice, guiding them on a transformational journey towards adopting Databricks. You'll implement technical strategies closely aligned with the client's objectives, foster relationships with technical champions, and provide structured mentorship within your team. Your expertise will help introduce clients to powerful ML & AI applications tailored to their specific use cases.

To excel as a Solutions Architect - Manufacturing at Databricks, candidates should possess strong expertise in big data, data science, and cloud technologies. A proven track record working with large global accounts, coupled with experience in value selling and data-driven business transformation, is essential. Proficiency in programming languages like Python, R, Scala, or Java is beneficial, and having a Databricks certification is a nice-to-have that can enhance your candidacy.

Databricks supports its Solutions Architects by fostering an inclusive environment that values diversity and collaboration. You’ll have access to a network of resources to assist in building proofs of concept and showcasing Databricks products. Furthermore, structured mentorship and opportunities to engage with executives at top-tier companies ensure that you have the tools and support needed to succeed in enhancing client relationships and drive successful implementation of our solutions.

Yes! While the Solutions Architect - Manufacturing position at Databricks is primarily based in Helena Valley Northeast, Montana, the company is open to remote candidates across various locations in the United States. This flexibility allows talented professionals from many different areas to join the Databricks team and contribute to our mission of empowering organizations with data-driven strategies.

Solutions Architects - Manufacturing play a crucial role at Databricks by enabling enterprises to become more data-driven through effective strategy implementation of our products. You will influence the success of client accounts by aligning technical strategies with their business objectives, establishing vital relationships with decision-makers, and promoting the adoption of ML & AI technologies, thereby transforming their operational capabilities.

Start by building rapport and understanding their current challenges. Share case studies or examples where Databricks has successfully improved operations in similar contexts. Focus on demonstrating the tangible benefits of data-driven decisions and how Databricks can address their specific pain points effectively.

I prioritize clear communication and understanding the executives' business goals. I engage them with meaningful insights and regular updates, focusing on how Databricks aligns with their objectives. Providing value through insights and suggestions fosters trust and positions me as a strategic partner rather than just a vendor.

I have extensive experience in technical selling, specifically within the realms of big data and AI applications. I've successfully led pre-sales activities, including technical demonstrations and requirement assessments, ensuring clients understand the full potential of data solutions in driving business value.

I regularly attend industry conferences, participate in webinars, and read up-to-date research and publications from reputable tech sources. Engaging with peers in the industry also helps me stay informed about new tools, technologies, and best practices in AI and machine learning.

To develop technical champions, I focus on empowerment through education. This involves training sessions, workshops, and mentoring them as they navigate our solutions. I encourage their involvement in pilot projects to enhance their confidence, which in turn fosters advocacy for Databricks within their organization.

Certainly! In a previous project, I assisted a manufacturing client in harnessing data analytics to optimize their supply chain. Utilizing Databricks’ platform, we implemented machine learning models that predicted demand patterns more accurately, resulting in significant cost savings and improved efficiency across their operations.

Before proposing any strategies, I conduct a thorough analysis of the client's existing workflows and business goals. I collaborate with key stakeholders to understand their challenges and expectations. This collaborative approach enables me to tailor my technical recommendations, ensuring they seamlessly align with their broader business objectives.

I advocate for using tools integrated within the Databricks ecosystem, including Apache Spark and Delta Lake, as they excel in handling large datasets efficiently. These tools offer robust analytics capabilities, allowing clients to perform complex data analyses and derive actionable insights effectively.

I set up key performance indicators (KPIs) in collaboration with the clients during the implementation phase. Post-implementation, I track these KPIs rigorously to assess performance improvements and gauge overall client satisfaction, enabling continuous improvement based on feedback.

I see ML and AI as pivotal in revolutionizing manufacturing. They will drive smarter logistics, predictive maintenance, and enhanced quality control. By harnessing data, manufacturers can optimize processes and innovate at an unprecedented pace, leading to improved productivity and reduced operational costs.