Data Architect

TalentOla View all jobs
Houston, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$80,500.0 - $157,500.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Confluence JIRA Microsoft Azure Cloud Computing Data Architecture Extract Transform Load (ETL) Dataspaces Data Stores Relational Databases Distributed Systems Enterprise Architecture Framework
+12 more
PostgreSQL Microsoft SQL Server MongoDB NoSQL Oracle (Applications) Software Tools Data Streaming Snowflake Cassandra Apache Kafka Data Management Domain Driven Design

Job description

The Data Architect is responsible for defining, designing, and governing enterprise data architecture, ensuring scalable, secure, and analytics ready data platforms. The role bridges business requirements and technical implementation, guiding data modeling, integration patterns, and platform standards across cloud and on prem data ecosystems., * Define and maintain enterprise architecture frameworks, standards, and roadmaps

  • Align business goals with technology and platform strategy
  • Design scalable, secure enterprise solutions (cloud, data, applications)
  • Lead architecture reviews and ensure compliance with EA principles
  • Guide solution architects and delivery teams on architectural decisions
  • Evaluate emerging technologies and recommend adoption strategies
  • Collaborate with stakeholders to drive transformation initiatives
  • Act as security advisor to delivery teams and stakeholders

Other details Salary range $80500 to $157500

Requirements

Core Skills

  • 12+ years of Strong experience in Enterprise Architecture
  • Strong experience as a Data Architect in enterprise environments
  • Expertise in data modeling (ER, dimensional, domain driven)
  • Strong knowledge of RDBMS and NoSQL data stores
  • Experience designing data platforms on cloud (Snowflake / AWS / Azure)
  • Strong understanding of ETL/ELT, batch and streaming architectures
  • Tools: Snowflake (or equivalent cloud DW), Informatica (ETL, DQ/DG, MDM), RDBMS: Oracle, Postgres, SQL Server, NoSQL: Cassandra, MongoDB, Modeling tools (ERwin, similar), JIRA / Confluence

Preferred / Nice-to-Have

  • Experience with Informatica DQ/DG and MDM
  • Insurance / Financial Services domain exposure
  • Experience with Kafka / streaming platforms
  • Knowledge of CAP theorem and distributed systems

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