Solvd, Inc.

Data Architect, AWS, DataBricks, MySQL

Solvd, Inc.

full-time

Posted on:

Location Type: Remote

Location: Argentina

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Tech Stack

ApacheAWSCloudKafkaMySQLNoSQLSQL

About the role

  • 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.
Benefits
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata modelingidentity resolutiondata qualitydata governanceSQLNoSQLdata streamingevent-driven architecturecustomer data platforms
Soft Skills
communication skillsclient-facing experiencetechnical discussionsroadmap definitioncollaborationleadership