Data Solutions Architect – Financial Services

SunnyData

. Serve as a trusted advisor on customers' data engineering and architecture strategies, focused on Databricks solutions .

Posted 10/2/2026full-timeRemote • United States, Uruguay, Argentina, MexicoSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data solutions using Databricks, Spark, and cloud platforms like AWS, Azure, or GCP. Proficient in data modeling, ETL processes, and delivering technical presentations while managing teams and mentoring engineers.

Highest-signal resume keywords

Databricks Solutions ImplementationData Engineering and ArchitectureSpark and Hadoop ExpertiseSQL Query OptimizationTeam Management and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETLData IntegrationSQLJavaPythonScalaAutomated Data TransformationData Analytics WorkflowsData Quality Governance

Soft Skills

Strong CommunicationClient-Facing ExperiencePresentation SkillsMentoring

Tools & Technologies

AWSAzureGCPKafkaAirflowStreamSetsDbtNiFiFivetranMatillion

Certifications & Qualifications

Associate Developer for Apache SparkData Engineer AssociateProfessional Data EngineerMachine Learning AssociateProfessional ML Engineer

Industry Keywords

Financial ServicesBanking IT ComplianceData GovernanceData Quality StandardsDistributed Storage Systems

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCassandraElasticSearchETLGoogle Cloud PlatformHadoopHDFSJavaKafkaMatillionNoSQLPandasPythonScalaScikit-LearnSDLCSparkSQL

About the role

Key responsibilities & impact

Serve as a trusted advisor on customers' data engineering and architecture strategies, focused on Databricks solutions
Design, build, and deploy end-to-end data solutions for AI, ML, and business intelligence initiatives
Partner with sales teams to present technical solutions and demonstrate SunnyData's offerings to prospective clients
Manage multiple customer accounts and report on progress and outcomes
Architect solutions using best practices in governance, security, and data quality
Evaluate data sources and recommend inclusion strategies to strengthen analytics
Guide internal teams, mentor project members, 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
Lead technical execution and presales support, splitting time evenly between both areas

Requirements

What you’ll need

7+ 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 end-to-end data analytics workflows
Ability to run 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
Experience producing solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views
Experience managing teams and mentoring engineers
Ability to take technical solutions into production with performance, security, scalability, and robust data integration
Familiarity with distributed storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL systems
Experience with data integration technologies such as Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, and IICS
Comprehensive SDLC experience covering design, documentation, implementation, testing, and deployment
Expertise in automated data transformation and curation using dbt, Spark, Spark Streaming, and automated pipelines
Experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, and NiFi
Background in Financial Services, preferably banking
Understanding of banking IT compliance requirements and standards
At least 2 of the following certifications: Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, or Professional ML Engineer
4-year Bachelor's degree in Computer Science or a related field

Benefits

Comp & perks

Health insurance coverage for employees and eligible family members from the first day of employment
Minimum of 15 days Paid Time Off annually
Nine paid company Holidays
Opportunity to grow technical and people skills
Opportunity to lead teams on complex, innovative customer projects
Career growth opportunities
Performance-based cash incentive awards
Innovative environment with cutting-edge technologies
Collaborative culture and knowledge sharing