Senior Data Architect

Company Description:BETSOL is a cloud-first digital transformation and data management company offering products and IT services to enterprises in over 40 countries. BETSOL team holds several engineering patents, is recognized with industry awards, and BETSOL maintains a net promoter score that is 2x the industry average.BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and best-in-class performance.BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for its customers.BETSOL offices are set against the vibrant backdrops of Broomfield, Colorado and Bangalore, India.We take pride in being an employee-centric organization, offering comprehensive health insurance, competitive salaries, 401K, volunteer programs, and scholarship opportunities. Office amenities include a fitness center, cafe, and recreational facilities.Learn more at betsol.comJob Description:The Senior Data Architect is responsible for designing and implementing the enterprise data architecture. This role will lead the development of scalable, secure, and integrated data platforms to support analytics, compliance, and business operations.Responsibilities:Define and implement the company’s data architecture, models, and pipelines.Design integrations between internal platforms and third-party systems (Salesforce, CX platforms, etc.).Establish standards for data quality, metadata, lineage, and classificationPartner with engineering, security, and compliance teams to align on privacy, retention, and access control policies.Lead the selection and implementation of data platforms.Drive adoption of data best practices across teams and support data governance efforts.Support data risk reviews, vendor onboarding, and audit readiness from a technical standpoint.Maintain data platforms and architecture performanceSupport existing data workflows, and integrationsRespond to data-related incidents and ensure data reliabilityImprove data models to support business growth and analyticsOptimize data pipelines, quality, and availabilityExpand self-service data capabilities for stakeholdersDefine future-state architecture to enable digital transformationLead data strategy to support AI/ML, automation and advanced analyticsIntegrate data across new platforms, partners, or business modelsQualifications:RequiredBachelor’s degree in Cyber Security, Computer Science or related field (or equivalent experience)8+ years in data architecture, data engineering, or enterprise data management.Strong hands-on experience with Snowflake, DBT, Data Vault 2.0, Streamlit / PythonStrong hands-on experience with AWS data engineering and KafkaFamiliarity with privacy and compliance frameworks such as SOC 2, HIPAA, GDPR, PCI DSS. Strong understanding of data modeling (OLTP/OLAP), APIs, and system integration.Leadership skills in a cross-functional environment.Experience supporting analytics, AI/ML use cases, and data warehousing at scale. PreferredStrong experience with BI tools; Tableau, Looker, Power BIAWS Certified Data Analytics – _SpecialtyTOGAF (for architecture frameworks)CDMP (Certified Data Management Professional)Additional Information:Must work Eastern time zone hours

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