[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Specialist Solutions Architect – Data Engineering & Warehousing (Financial Services) AI Summary Databricks is seeking a senior specialist solutions architect to lead technical strategy for financial-services accounts focused on data engineering and warehousing. The role combines hands-on distributed data architecture, live coding, cloud deployment expertise, and technical pre-sales leadership. The architect will design production-grade Spark, streaming, lakehouse, and migration solutions while guiding customers from discovery through adoption and consumption growth. Success requires executive-level communication, competitive positioning, cross-functional coordination, and up to 30% travel.[Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 180k–247,500 / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished5 Nov 2026Apply before5 Dec 2026Listing views21Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. FEQ327R691 As a Data Engineering and Warehousing Specialist Solutions Architect (SSA), you will lead the advanced technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain. This position can be remote. The Impact You Will Have * Own the end-to-end technical strategy for your accounts, from discovery through production deployment and consumption growth * Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering and real-time analytics * Serve as a trusted technical advisor to customer architects, engineering leads, and Directors * Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions * Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain * Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs * Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For * 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas: Data and Software Engineering: Deep hands-on experience with Apache Spark™ ecosystem (Spark Core, Spark SQL, Spark Streaming), message queues (e.g., Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads * Data Applications Engineering: Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms * Data Warehousing & Migration: Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems; advanced query tuning, governance, and MPP debugging * [Nice to have] Data Observability & Security: Telemetry, high-velocity log ingestion, anomaly detection, and familiarity with SIEM tools (e.g., Splunk, Elastic, Sentinel) * Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills * Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms * Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) * Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis * Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations * Track record of driving platform adoption and consumption growth within accounts * Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences * Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) * Willingness to travel up to 30% as needed Nice to Have * Databricks certifications (Data Engineer, ML, Platform) * Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you’ll position against * Background in a data/AI company or cloud provider * Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) ### Interview Process Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Presentation → Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). 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 click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). 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. Show more [Apply now >](https://jobicy.com/jobs/159140-specialist-solutions-architect-data-engineering-warehousing-financial-services.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior customer-facing architecture position requiring deep practical expertise in Spark, SQL, Python, cloud platforms, data warehousing, and complex production troubleshooting. The candidate must also lead strategic technical engagements, perform live coding, and influence both customer and internal stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$213,750US market range (per year)$180k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a USD 180,000–247,500 salary range. The yearly cadence is inferred from the stated US full-time professional role and compensation magnitude, rather than explicitly stated. A reasonable estimated US market range for a senior data engineering solutions architect is USD 180,000–260,000 per year, excluding bonus, commission, and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Spark SQL](https://jobicy.com/jobs?search_keywords=Spark%20SQL.md)[Spark Streaming](https://jobicy.com/jobs?search_keywords=Spark%20Streaming.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Kafka](https://jobicy.com/jobs?search_keywords=Kafka.md)[Data warehousing](https://jobicy.com/jobs?search_keywords=Data%20warehousing.md)[Data migration](https://jobicy.com/jobs?search_keywords=Data%20migration.md)[Lakehouse architecture](https://jobicy.com/jobs?search_keywords=Lakehouse%20architecture.md)[Real-time analytics](https://jobicy.com/jobs?search_keywords=Real-time%20analytics.md)[Cloud architecture](https://jobicy.com/jobs?search_keywords=Cloud%20architecture.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Technical pre-sales](https://jobicy.com/jobs?search_keywords=Technical%20pre-sales.md) Sample interview questionsHow would you design a scalable real-time data pipeline for a financial-services customer using Databricks?I would begin by clarifying latency, throughput, retention, governance, and recovery requirements. A typical design would ingest events through Kafka, process them with Structured Streaming and checkpointing, store curated Delta tables in a layered lakehouse architecture, and apply Unity Catalog controls for governance. I would validate the design through load testing, monitoring, schema-evolution planning, and documented operational runbooks. How do you approach migrating a legacy enterprise data warehouse workload to a lakehouse platform? I start with workload discovery, data profiling, dependency mapping, and prioritization of high-value use cases. I then define target data models, migration waves, reconciliation rules, performance baselines, and a parallel-run strategy. Throughout the migration, I measure query performance, data quality, cost, security controls, and user adoption before retiring legacy workloads. Describe how you would troubleshoot a slow Spark job in production. I would inspect the Spark UI and query plan to identify skew, excessive shuffles, poor partitioning, inefficient joins, serialization overhead, or data-source bottlenecks. I would then test targeted changes such as broadcast joins, adaptive query execution, partition sizing, file compaction, predicate pushdown, and caching only where justified. Finally, I would compare performance against a baseline and ensure the fix remains reliable at production scale. How do you communicate an architecture trade-off to both technical architects and executive stakeholders? I frame the decision around the business outcome, such as faster risk reporting, lower operating cost, or improved data reliability. For technical teams, I provide assumptions, diagrams, alternatives, security implications, and measurable performance criteria. For executives, I summarize the decision, risk, expected value, timeline, and required investment without unnecessary implementation detail. How would you demonstrate Databricks differentiation in a competitive technical evaluation? I would align the demonstration to the customer’s specific success criteria instead of delivering a generic product walkthrough. I would build a focused solution that proves relevant capabilities such as unified batch and streaming processing, governed sharing, SQL performance, ML integration, or simplified operations. I would document measurable outcomes, address competing-platform trade-offs honestly, and leave the customer with an implementation path to production. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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