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Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are seeking a Data Architect to take ownership of the end-to-end data architecture for a Snowflake/Databricks Customer360 Proof of Concept. The role focuses on building a Golden Record, enhancing data quality, and enabling metrics for cross-selling and returns. You will work closely with data engineering, analytics, and business stakeholders to translate outcomes into scalable data products.
Job Responsibility:
Define the target architecture for Customer360 on Snowflake or Databricks, including ingestion patterns, modeling standards, and governance
Design and lead the Golden Record / identity resolution approach (deterministic matching first), including identifiers, survivorship rules, confidence scoring
Create the canonical customer model (core entities/relationships) and align marts/domains (e.g., insurance, cards, loans) into a unified customer layer
Establish data quality frameworks: checks (null/uniqueness/RI/thresholds), monitoring/alerts, lineage/source-of-truth mapping, and data SLAs
Define activation-ready outputs (customer attributes, segments, eligibility indicators) and support low-latency enablement patterns where needed
Requirements:
Proven experience as a Data Architect (or similar senior data engineering role) designing and implementing data platforms and end-to-end data solutions
Strong hands-on expertise with cloud data ecosystems, preferably AWS, including modern data warehousing and lakehouse technologies (e.g., Snowflake and/or Databricks)
Strong background in data modeling, identity resolution, customer profile unification, and data marts integration
Hands-on experience with data quality, governance, metadata/lineage, and operating models for data products
Comfortable working with web/event data (e.g., Segment/CDP/GA4) and cross-domain datasets
Solid experience with SQL (e.g., MySQL) and NoSQL databases, as well as data streaming and event-driven architectures using tools such as Apache Kafka or equivalent message/queue technologies
Demonstrated background in building or contributing to Customer Data Platforms (CDP) or similar large-scale customer data, ingestion, cleansing, and profiling solutions
Excellent communication skills and client-facing experience, with the ability to drive technical discussions, define roadmaps and architectures, and lead cross-functional teams in a collaborative environment
Fluency in English is required
What we offer:
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards