Solutions Architect - Financial Services

Databricks; New York (NY); On-site; USD 139,000 - 248,000; Full time

Job summary

An established industry player is seeking a Solutions Architect specializing in Financial Services to lead the growth of their Unified Analytics Platform. In this pivotal role, you will leverage your expertise in cloud platforms and big data technologies to guide customers through their digital transformation journeys. You will collaborate closely with sales teams, providing technical leadership and building strong relationships with clients. This role offers the opportunity to work with cutting-edge technologies like Apache Spark and Delta Lake, and to present innovative solutions that drive meaningful business outcomes. If you are passionate about data and AI, this role is perfect for you.

Qualifications

• 5+ years in a customer-facing pre-sales or consulting role.
• Experience designing and architecting distributed data systems.
• Experience with Financial Services customers is a plus.

Responsibilities

• Partner with sales to help customers understand Databricks solutions.
• Provide technical leadership for evaluating and adopting Databricks.
• Consult on big data architecture and implement proof of concepts.

Skills

Python

SQL

Scala

Java

R

Big Data Technologies

Data Engineering

Data Analytics

Machine Learning

Education

Undergraduate Degree in Engineering

Undergraduate Degree in Mathematics

Tools

Apache Spark

Delta Lake

MLflow

AWS

Azure

GCP

Hadoop

Kafka

Job description

Solutions Architect - Financial Services

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While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, data science, machine learning, and generative AI. As a member of our team, you will exercise and grow your expertise in those areas, using open-source projects such as Apache Spark, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams, and partners to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation to accomplish meaningful outcomes for their businesses. You will build relationships with customers, find and build champions, and become a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The Impact You Will Have

• Partner with the sales team to help customers understand how Databricks can help solve their business problems.
• Provide technical leadership for customers to evaluate and adopt Databricks.
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
• Build and present reference architectures, how-tos, and demonstrate applications for customers.
• Become an expert in, and promote open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
• Travel to meet with customers in your territory.

What We Look For

• 5+ years in a customer-facing pre-sales or consulting role, preferably working with big-data technologies to solve data engineering and analytical challenges.
• Experience designing and architecting distributed data systems.
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R.
• Experience working with Financial Services customers is a positive differentiator.
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
• Experience with data engineering technologies (e.g., Spark, Hadoop, Kafka).
• Experience with data warehousing technologies (e.g., SQL, OLTP/OLAP/DSS).
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent base salary ranges for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors such as skills, experience, certifications, and work location. The total compensation may include bonuses, equity, and benefits. For more details, visit our benefits page.

• Zone 1 Pay Range: $139,700—$247,300 USD
• Zone 2 Pay Range: $139,700—$247,300 USD
• Zone 3 Pay Range: $139,700—$247,300 USD
• Zone 4 Pay Range: $139,700—$247,300 USD

About Databricks

Databricks is the data and AI company relied upon by over 10,000 organizations worldwide, including Fortune 500 companies. We are headquartered in San Francisco and are the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. Follow us on Twitter, LinkedIn, and Facebook to learn more.

Benefits

We offer comprehensive benefits tailored to our employees' needs. Visit our benefits page for regional details.

Our Commitment to Diversity and Inclusion

We foster a diverse and inclusive culture, considering all applicants equally regardless of age, gender, ethnicity, disability, or other protected characteristics.

Additional Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and IT

Industries: Software Development