{"id":3596082,"url":"https://alion.io/job/sola-senior-data-platform-engineer","title":"Senior Data Platform Engineer","company":{"id":2746914,"name":"Sola","domain":"solapayments.com","url":"https://alion.io/company/solapayments-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"DynamoDB","optional":false},{"name":"IAM","optional":false},{"name":"Memcached","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"PCI DSS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Flyway","optional":true},{"name":"Java","optional":true},{"name":"Liquibase","optional":true}],"status":"live","first_seen_at":"2026-10-20T16:10:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-07T05:38:09Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Job Summary:\nThe Senior Data Platform Engineer serves as Sola's primary database administrator and data platform engineer within the DevSecOps team. This role owns the production databases that support our analytics, transactional, and caching layers, including Amazon Redshift, MySQL, Microsoft SQL Server, and PostgreSQL, as well as the Cube.js semantic layer, the ingestion pipelines that feed it, and the Terraform managed infrastructure beneath it.\nThis is a hands-on role with a high degree of autonomy. The successful candidate will design new data architecture, resolve production performance issues, and maintain the pipelines and infrastructure as code that support them. Operating within a PCI DSS and SOC 2 regulated payments environment, this engineer partners closely with Engineering, DevOps, and Security to keep the data platform performant, reliable, secure, and scalable as the business grows.\nDuties and Responsibilities:\nData Warehouse and Analytics Layer\nOwn the performance, availability, and cost of the Amazon Redshift data warehouse, including cluster sizing, workload management (WLM), distribution and sort key design, and routine vacuum and analyze maintenance.\n\nAdminister and tune Cube.js as the semantic and analytics layer built on Redshift.\n\nRelational Database Administration\nAdminister production relational databases, including MySQL/Aurora MySQL and Microsoft SQL Server, covering backup and recovery, patching, version upgrades, CDC and replication, and high availability and failover configuration.\n\nLead schema design, administration, and standards for PostgreSQL, which supports newer services such as the Developer Portal and Hierarchy Service.\n\nQuery and Performance Optimization\nProfile and tune queries, indexes, and execution plans across relational and NoSQL systems.\n\nImplement monitoring and alerting that identifies performance regressions before they become incidents.\n\nDatabase Architecture and Design\nPartner with engineering teams early in the project lifecycle to design schemas, select the appropriate data store for each workload, and establish standards for scalability, normalization, and data integrity.\n\nData Pipeline Engineering\nOwn the warehouse ingestion pipelines, including AWS DMS and CDC replication, Glue jobs, Step Functions orchestration, and EventBridge scheduled loads, and resolve throughput, memory, and data freshness issues end to end.\n\nNoSQL and Caching Platforms\nDesign DynamoDB table structures, partition and sort key strategies, secondary indexes, and capacity modes to balance performance and cost at scale.\n\nAdminister and tune ElastiCache (Redis and Memcached), including cluster topology, eviction policies, and failover behavior.\n\nOperational Excellence\nDevelop and maintain runbooks, backup and disaster recovery procedures, and monitoring for all owned database platforms.\n\nParticipate in the on call rotation as required.\n\nCollaboration\nManage day to day database operations independently while collaborating with Engineering and Security on architecture reviews, capacity planning, and incident response.\n\nKey Performance Indicators:\nSuccess in this role will be measured through a combination of platform reliability, performance, data quality, and operational maturity, including:\nProduction database availability that meets defined uptime targets across Redshift, MySQL, SQL Server, and PostgreSQL.\n\nQuery performance, measured by p95 latency for key dashboards and Cube.js endpoints, with sustained improvement against baseline.\n\nData freshness, with warehouse loads and CDC replication consistently meeting agreed latency windows and pipeline failures resolved within defined SLAs.\n\nBackup and disaster recovery readiness, including successful scheduled restore tests and documented RPO and RTO targets met for all owned platforms.\n\nReduction in database related incidents and repeat issues, with root cause analysis completed for every Sev 1 and Sev 2 event.\n\nData platform cost efficiency, with Redshift, DynamoDB, and ElastiCache spend optimized relative to usage growth.\n\nTimely completion of patching and version upgrades, with no platforms running unsupported versions.\n\nAudit readiness, with database controls and evidence supporting PCI DSS and SOC 2 requirements delivered without findings.\n\nComplete and current runbooks, monitoring, and alerting for all owned platforms.\n\nRequirements and Qualifications:\n7+ years of hands-on database administration experience across relational and NoSQL technologies.\n\nAt least 2 years of production Amazon Redshift experience (required), including workload management, distribution and sort key design, vacuum and analyze operations, and diagnosing complex performance issues.\n\nStrong MySQL and Microsoft SQL Server administration skills, including backup and restore, replication and CDC, upgrades, and troubleshooting.\n\nWorking knowledge of PostgreSQL, with the ability to lead schema design and administration for new services.\n\nExperience in PCI DSS or SOC 2 regulated environments.\n\nDemonstrated success diagnosing and resolving query performance issues in high throughput environments.\n\nExperience designing database architecture for new applications, in addition to maintaining existing systems.\n\nWorking knowledge of DynamoDB data modeling and performance tuning.\n\nExperience administering ElastiCache (Redis or Memcached) or equivalent caching infrastructure.\n\nSolid AWS proficiency across the console and CLI, including IAM, CloudWatch, VPC, RDS, and S3.\n\nScripting proficiency in Python, Bash, or similar, and enough familiarity with application code to collaborate effectively with engineers.\n\nExperience using AI assisted tools to accelerate query development, troubleshooting, documentation, and scripting.\n\nAbility to work independently, prioritize competing demands, and deliver projects with minimal oversight.\n\nStrong written and verbal communication skills, including documenting architecture decisions and operational procedures.\n\nAbility to take part in after-hours incident response coverage, including a weekend and holiday backup rotation.\n\nPreferred Qualifications:\nExperience with Cube.js or a comparable semantic layer.\n\nInfrastructure as code experience, preferably Terraform (CloudFormation or CDK also relevant), including extending existing modules.\n\nExperience with data pipeline and ETL tooling such as AWS DMS, Glue, or Step Functions.\n\nFamiliarity with CI/CD pipelines and database change management tools such as Flyway or Liquibase.\n\nRelevant AWS certifications, such as AWS Certified Database Specialty or Solutions Architect.\n\nLeadership Profile:\nThe successful candidate will combine deep database expertise with sound engineering judgment and a strong sense of ownership. They will hold meaningful accountability for business critical data platforms, exercise autonomy in architectural decisions, and contribute to a team culture grounded in pragmatic engineering, security, and continuous improvement.\nLocation:\nRemote\n\nSalary:\n$165,000 - $200,000 annually\n\nAbout Sola\nSola is a leading payments provider offering a full suite of merchant services, including payment processing, gateway solutions, and PayFac capabilities. With strong partnerships across key verticals and a deep integration with ISV platforms, we deliver innovative and scalable solutions that help businesses of all sizes manage their payments efficiently. Headquartered in New York, our company is known for its customer-first approach, cutting-edge technology, and commitment to driving seamless transactions.\nEqual Employment Opportunity Policy\nSola provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 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