Sr. Solutions Engineer

Databricks Inc.; Finland; On-site; USD 90,000 - 130,000; Full time

Job summary

A leading data and AI company is seeking a professional to manage client relationships and provide technical solutions using their Data Intelligence Platform. The candidate will work alongside account executives and contribute to building a technical community through various engagements. Familiarity with Python or SQL and expertise in Big Data Analytics are essential for success in this role. The opportunity allows for professional growth into a Solutions Architect position.

Qualifications

• Experience working with clients to deliver technical and business value.
• Ability to independently create solutions to customer pain points.
• Knowledge of programming languages such as Python or SQL.

Responsibilities

• Form successful relationships with clients to provide technical value.
• Support customers by developing reference architectures.
• Contribute to the Databricks technical community through events.

Skills

Client relationship management

Technical proposition delivery

Coding in Python or SQL

Big Data Analytics knowledge

Solution architecture understanding

Job description

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Overview

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve complex data challenges.

Impact you will have

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands‑on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet‑ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support customers by authoring reference architectures, how‑tos, and demo applications.
• Develop both technically and in the pre‑sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for

Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. Ability to independently deliver a technical proposition, identify customers’ pain‑points, and explain important areas for business value to develop a trusted advisor skillset.

• Code in a core programming language such as Python or SQL.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs‑of‑concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and Data Engineering.