About this role
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 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 modelsLooking For:
8+ years in data architecture, data engineering, or enterprise data management. Mandatory Skills:
A. Technical Skills:
Demonstrates strong and effective communication with clients and cross-functional stakeholders. Strong hands-on experience with modern 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, PCI DSS. 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) Experience supporting analytics, AI/ML use cases, and data warehousing at scale. Advanced proficiency in Python for data engineering and automation Experience with data governance concepts (quality, lineage, metadata, classification) B. Soft Skills
Strong communication skills with clients, business stakeholders, and cross-functional teamsAbility to collaborate effectively across multiple functionsDemonstrated leadership skills in a cross-functional environmentAbility to drive and influence enterprise-level data strategy and architecture decisionsGood to Have Skills:
Experience with Data Vault 2.0 or other enterprise modeling approaches (Kimball, Inmon, 3NF, etc.) Experience with DBT or similar transformation tools (Coalesce, Madillion, Dataform, or native SQL-based transformations) Experience with Kafka or equivalent streaming platforms (Kinesis, MSK, Confluent, etc.) Experience building data applications or self-service tools (Streamlit or 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) Bachelor’s degree in Cyber Security, Computer Science or related field (or equivalent experience) Work is for a US-based clientStrong English proficiency requiredThis role requires US Eastern Time working hours: Monday-Friday(6PM IST - 3 AM IST) implying standard US-EST business hours (with reasonable flexibility for incident response and global coordination).