Solutions Architect – Data Engineering Specialist – Remote Jobs

Job Name: Solutions Architect – Data Engineering Specialist
Name of the Company: Databricks
Location: United States (remote work available)
Salary range: Not specified (Equity, Family Planning, Personal Development Fund, Work Headphone Reimbursement, EAP, Business Travel Insurance, 401k, Dental Insurance, Health Insurance, Vision Insurance, Flexible/Unlimited PTO, Parental, and family leave, Gym or health memberships/stipends, Mental health support programs are provided as benefits.)

Position Description

Databricks is searching for a customer-facing Solutions Architect (SA) having commendable experience in Data Engineering. As an SA, you will help customers to design, implement and integrate big data solutions on Databricks’ Lakehouse Platform addressing their business requirements. You must have production-level experience with Apache Spark and proficiency in other data technologies. You will be working alongside and supporting Solution Architects. You will provide guidance to customers on design, implementation of essential workloads, and align their technical roadmap for expanding the usage of the platform. Additionally, this role will allow for continued mentoring, learning, and extensive training programs to keep abreast of the latest technology and establish you as a specialist in your area of expertise, such as streaming, performance tuning, or industry experience.

Responsibilities

– Architect production-level data pipelines; implement end-to-end pipeline load performance testing and optimization
– Offering technical support on strategic projects from architectural design to data engineering to model deployment
– Assist Solution Architects in custom proof of concept content, workload sizing estimation, and custom architectures
– Provide tutorials and training for the Databricks community to improve platform adoption
– Contribute to the Databricks Community
– Perspective of a deep go-to-expert reporting to the Specialist Field Engineering Manager.

Qualifications

– Over five years of experience in a customer-facing technical role with expertise in either Data Engineer or Data Applications Engineer
– Extensive experience building data pipelines and using big data technologies such as Spark/Delta or Hadoop
– Production programming knowledge in SQL and Python, Scala, or Java
– Deep Specialty Expertise in at least one of the following areas:
– Experience scaling big data workloads that are performant and cost-effective
– Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g. Jenkins)
– Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking
– Experience implementing industry specific data analytics use cases
– Possess a degree in a quantitative discipline (Desired)
– Capability to travel up to 30% when required.

Benefits:

– Comprehensive health coverage including medical, dental, and vision
– 401(k) Plan
– Equity awards
– Flexible time off
– Paid parental leave, Family Planning
– Gym reimbursement
– Annual personal development fund
– Work headphones reimbursement
– Employee Assistance Program (EAP)
– Business travel accident insurance
– Mental wellness resources

About Databricks:

Databricks is the data and AI company empowering organizations worldwide to unify their data, analytics, and artificial intelligence with the Databricks Lakehouse Platform. Since its establishment, Databricks has been committed to building a diverse, inclusive culture that fosters creativity, curiosity, and collaboration. They welcome candidates from various backgrounds and are committed to equal employment opportunity standards.

Compliance:

If the job involves access to export-controlled technology or source code, the company will decide at its discretion whether to apply for a U.S. government license for such positions.