Data Architect (AWS + DataBricks + MySQL)

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.

• 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.
  

• 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.

When you join Solvd, you'll…

• 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.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.