Senior Data Architect

BETSOL; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

BETSOL in Bengaluru, India, seeks a Senior Data Architect to design and implement enterprise data architecture, building scalable, secure data platforms to support analytics, compliance, and operations.

You will lead data models, pipelines, and integrations (Salesforce, CX platforms), define data quality standards, partner with security/privacy teams, and drive governance and AI/ML initiatives for a US-based client with EST hours.

Qualifications

• 8+ years in data architecture, data engineering, or enterprise data management.
• Strong communication with clients and cross-functional stakeholders.
• Hands-on experience with modern cloud data platforms (Snowflake) and AWS data services (S3, Glue, Redshift, Lambda).
• Familiarity with privacy/compliance frameworks (SOC 2, HIPAA, GDPR, PCI DSS).
• Strong data modeling (OLTP/OLAP), APIs, and system integration.

Responsibilities

• Define and implement the company’s data architecture, models, and pipelines.
• Design integrations between internal platforms and third-party systems (Salesforce, CX platforms).
• Establish standards for data quality, metadata, lineage, and classification.
• Partner with engineering, security, and compliance teams on privacy and access controls.
• Lead selection and implementation of data platforms.
• Drive adoption of data best practices and governance across teams.

Skills

Data architecture

Stakeholder communication

Snowflake

AWS data services

Data modeling

Leadership

Analytics/AI/ML

Python for data engineering

Data governance

Education

Bachelor’s degree in Cyber Security, Computer Science or related field

Tools

Snowflake

AWS data services

Job description

Engineering the AI-powered enterprise. With AI and cloud-native solutions, BETSOL accelerates cloud transformation for enterprises across 17+ countries. BETSOL holds several engineering patents, and is recognized with industry awards. 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 delivers best-in-class performance. BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for 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.com

Job Description

About the Role: 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 classification
• Partner 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 performance
• Support existing data workflows, and integrations
• Respond to data-related incidents and ensure data reliability
• Improve data models to support business growth and analytics
• Optimize data pipelines, quality, and availability
• Expand self-service data capabilities for stakeholders
• Define future-state architecture to enable digital transformation
• Lead data strategy to support AI/ML, automation and advanced analytics
• Integrate data across new platforms, partners, or business models

Qualifications

Mandatory Skills:

• 8+ years in data architecture, data engineering, or enterprise data management.
• Demonstratesstrong andeffective communication with clients and cross-functional stakeholders.
• Strong hands-on experience withmodern cloud data platforms (Snowflake)
• Strong hands-on experience in AWS data engineering services (e.g., S3, Glue, Redshift, Lambda)
• Familiarity with privacy and compliance frameworks such as SOC 2, HIPAA, GDPR, PCIDSS.
• Strong understanding of data modeling (OLTP/OLAP), APIs, and system integration.
• Proven experience owning or leading enterprise data architecture(not just pipeline development or BI)
• Leadership skills in a cross-functional environment.
• Experience supporting analytics, AI/ML use cases, and data warehousing at
• scale.
• AdvancedproficiencyinPython for data engineering and automation
• Experience withdata governance concepts (quality, lineage, metadata, classification)
• Bachelor’s degree in Cyber Security, Computer Science or related field (or equivalent experience)

Good to Have Skills:

• Experience withData Vault 2.0 or other enterprise modeling approaches (Kimball, Inmon, 3NF, etc.)
• Experience withDBT or similar transformation tools (Coalesce,Madillion,Dataform, or native SQL-based transformations)
• Experience withKafka or equivalent streaming platforms (Kinesis, MSK, Confluent, etc.)
• Experience buildingdata applications or self-service tools (Streamlitor similar frameworks)
• Strong experience with BI tools; Tableau, Looker, Power BI
• AWS Certified Data Analytics – _Specialty
• TOGAF (for architecture frameworks)
• CDMP (Certified Data Management Professional)

Additional Information

• Work is for a US-based client
• Schedule is US EST hours