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Data Architect

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Daman
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    AWS, Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Title
:
Senior Data Architect

Job Location
:
Remote

Job Type
:
Long-term Contract

Role Overview

Serve as a full-stack data engineer in the Data Accessibility Program, the foundation platform for the enterprise data portfolio. Design, build, and operate:

  • AWS-based medallion architecture (Bronze / Silver / Gold)
  • The data lake and data warehouse
  • Enterprise ETL/ELT pipelines and data services / APIs
  • Data governance, cataloging, and data-as-a-service capabilities

The Full-Stack Data Engineer works within the Data Accessibility Program, supporting the enterprise data platform built on AWS and Apache Iceberg
. The engineer designs, builds, and operates the Bronze/Silver/Gold medallion architecture, ingestion frameworks, curated datasets, data services/APIs, and governance‑compliant pipelines.

Core Responsibilities
  • Design and evolve medallion architecture for the enterprise data platform (Bronze, Silver, Gold).
  • Define and implement SCD (Type
    2) and CDC strategies with data integrity, referential integrity from source systems into S3 and Apache Iceberg.
  • Perform data mapping from source systems into canonical and analytic models.
  • Use AWS Transfer Family, AWS Database Migration Service (DMS), AWS Glue, AWS Lambda, EC2, Sonra Flexter, and Aurora PostgreSQL to ingest and land raw data into S3 (Parquet – data partitioning) and Apache Iceberg.
Silver (Curated on Apache Iceberg)
  • Use Upsolver - Qlik Talend Cloud to build curated Iceberg tables that standardize and conform data across domains.
  • Apache Iceberg table design and operations: partitioning, schema evolution, compaction, and performance tuning.
AWS & Lakehouse Platform Skills
  • Amazon S3 for raw, curated, and derived datasets; including partitioning, lifecycle policies, and storage classes.
  • AWS Glue for ETL jobs, crawlers, workflows, and use of Glue Catalog.
  • AWS Lambda and EC2 for custom data processing jobs and API hosting.
  • AWS Lake Formation and AWS Datazone for refined access management and governance.
  • Hashi Corp Terraform to provision and manage AWS resources used by the data platform.
Data Services & APIs
  • Design and build data services / APIs that expose curated Silver data as reusable data products.
  • Implement Python-based APIs and services on AWS compute (Lambda) using API Gateway.
  • Ensure services implement observability (logs, metrics, traces) and align with operational SLAs.
Security, Governance & Operations
  • Apply tokenization, encryption, masking, and redaction of sensitive data.
  • Maintain accurate AWS Glue Catalog entries for all technical assets (S3, Iceberg, Aurora).
  • Monitor and optimize performance and cost across S3, Glue, Aurora, Iceberg, and APIs.
Seniority level
  • Executive
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting
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