Principal Solutions Architect – Financial Services

🕒 October 1

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Serve as a trusted advisor, guiding customers' data engineering and architecture strategy with a focus on Databricks solutions • Design, build, and deploy comprehensive data solutions for AI, ML, and business intelligence initiatives • Provide thought leadership on data trends • Partner with sales teams to present technical solutions to prospective clients • Manage multiple customer accounts and report on progress and outcomes • Architect solutions incorporating governance, security, and data quality best practices • Evaluate data sources and recommend inclusion strategies to strengthen analytics • Guide internal teams, mentor project teams, and educate end users on data products and analytic environments • Analyze systems, diagnose data and system defects, and apply appropriate fixes • Test data movement, transformation code, and data components for accuracy and reliability • Split time evenly between hands-on technical execution and presales support

🎯 Requirements

• 10+ years as a hands-on Solutions Architect and/or Senior Data Engineer • Recent experience implementing data solutions on Databricks • Expertise in Spark, Hadoop, Kafka, Databricks, pandas, and scikit-learn • Deep understanding of data modeling, ETL, data integration, and modern engineering techniques • Ability to run complex architecture discovery and solution design sessions and create implementation blueprints • Proficiency in Java, Python, and/or Scala • Experience with AWS, Azure, and/or GCP • Ability to write, debug, and optimize SQL queries • Strong written and verbal communication and client-facing experience • Ability to build and deliver detailed presentations to clients and stakeholders • Experience producing detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views • Ability to take technical solutions into production with performance, security, scalability, and robust data integration • Experience managing, mentoring, and growing a team of engineers • Bachelor's degree in Computer Science or a related field • Residing in Pacific Time or on the West Coast strongly preferred • Preferred: familiarity with distributed storage systems including S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL systems • Preferred: experience with Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, and IICS • Preferred: comprehensive SDLC experience • Preferred: automated data transformation and curation using dbt, Spark, Spark Streaming, and automated pipelines • Preferred: workflow management and orchestration using Airflow, AWS Managed Airflow, Luigi, and NiFi • Preferred: Financial Services, preferably banking, domain background • Preferred: understanding of banking IT compliance requirements and standards • Preferred: at least two listed certifications: Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, or Professional ML Engineer

🏖️ Benefits

• Health insurance coverage for employees and eligible family members from the first day of employment • Minimum of 20 days paid time off annually • Nine paid company holidays • Opportunities for professional development and career advancement • Opportunity to grow technical and people skills • Performance-based cash incentive awards • Innovative environment with cutting-edge technologies and industry leaders • Collaborative culture emphasizing collaboration and knowledge sharing