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DatabricksSpecialist Solutions Architect - Data Engineering & Warehousing (Financial Services)
Databricks operates as a data and intelligence enterprise, supporting over twenty thousand global organizations through its unified analytics platform. The business is hiring a Specialist Solutions…
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About This Role
Databricks operates as a data and intelligence enterprise, supporting over twenty thousand global organizations through its unified analytics platform. The business is hiring a Specialist Solutions Architect focused on data engineering and warehousing within the financial services sector. This position is remote and involves leading high-level technical strategies, guiding account architectures from initial discovery through full production, and assisting customers in adopting the platform successfully. The person in this role…
Job Description
Databricks operates as a data and intelligence enterprise, supporting over twenty thousand global organizations through its unified analytics platform. The business is hiring a Specialist Solutions Architect focused on data engineering and warehousing within the financial services sector. This position is remote and involves leading high-level technical strategies, guiding account architectures from initial discovery through full production, and assisting customers in adopting the platform successfully.
The person in this role will act as a primary technical counselor for engineering leaders and directors, secure competitive technical wins, and build specialized expertise within the field engineering division. Candidates should possess substantial hands-on engineering experience and strong communication skills to convey complex architectures to diverse audiences. Databricks expects team members to collaborate across functional groups and share structured product feedback derived from client requirements.
Responsibilities
- Manage end-to-end technical strategy for assigned accounts from discovery to production deployment
- Design scalable, production-grade solutions encompassing data engineering and real-time analytics
- Advise customer architects, engineering leads, and directors as a trusted technical authority
- Secure competitive technical wins by showcasing custom-built platform solutions
- Develop and establish an emerging technical specialization within the team
- Coordinate cross-functional resources including data specialist solutions architects, solutions architects, and partners
- Supply structured feedback regarding customer needs and competitive gaps to influence product development
Requirements
- Six or more years of experience in solutions architecture, technical pre-sales, or senior hands-on technical roles in data engineering, software engineering, data applications, or data warehousing
- Hands-on background with the Apache Spark ecosystem, message queues, batch ingestion, and workload optimization
- Experience constructing data-driven use cases, predictive analytics pipelines, or customer analytics platforms
- Familiarity with migrating legacy enterprise data warehouse workloads across OLAP and OLTP systems
- Coding fluency in Python and SQL with the ability to demonstrate live coding, debugging, and solution construction
- Expertise in distributed data systems architecture, streaming models, lakehouse frameworks, and cloud-native data platforms
- Capacity to lead architecture discussions, design reviews, and trade-off analyses with senior technical stakeholders
- Practical background with public cloud production deployments covering infrastructure, security, and governance
- Willingness to travel up to thirty percent of the time as required
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, a quantitative discipline, or equivalent professional experience
- Familiarity with data observability, telemetry, high-velocity log ingestion, anomaly detection, and SIEM tools
- Databricks platform proficiency with developing specializations in areas such as streaming, artificial intelligence, machine learning, data governance, or migrations
- Certifications from Databricks for Data Engineer, Machine Learning, or Platform
- Previous exposure to rival platforms including Snowflake, AWS native services, and Azure Synapse
- Background working inside a cloud provider or a data and artificial intelligence enterprise
- Industry domain expertise in financial services, healthcare, retail, or media
Core Skills
Benefits
- Eligibility for an annual performance bonus and equity
- Comprehensive regional benefits and perks package
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the source posting explicitly states that this position can be remote.
What is the salary range for this job?
The local pay range is listed between $180,000 and $247,500 USD per year, with actual compensation depending on individual skills, experience, certifications, and location.
What is the interview process like?
The evaluation consists of a recruiter screen, a hiring manager screen, a design and architecture interview, a live coding assessment, a presentation, and a reference check.
How much travel is expected for this role?
Candidates must be willing to travel up to 30 percent of the time as needed.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
