Sr Data Architect
Capco
Opportunity published from Greenhouse · applications stay with the original hiring source.
About the opportunity
We are seeking an experienced and detail-oriented Senior Data Architect to join our cross-functional Agile team on a contract basis in Jersey City, NJ. In this role, you will design, build, and maintain scalable, high-performing cloud data platforms using Snowflake.
You will define how data is stored, integrated, secured, and used across the organisation, ensuring that data architecture aligns with business objectives and supports analytics, reporting, and strategic decision-making.
Working closely with data engineers, developers, product managers, and business stakeholders, you will develop enterprise data models and architecture solutions that support application development and business intelligence.
This role offers the opportunity to work with modern cloud technologies, establish architectural best practices, and contribute to enterprise-wide data transformation initiatives.
Key responsibilities
- Design and implement scalable, secure, and high-performing enterprise data architecture using Snowflake and AWS cloud technologies.
- Define and maintain enterprise data models, schemas, and architectural standards, including Star Schema, Snowflake Schema, and Data Vault 2.0 methodologies.
- Architect data ingestion, integration, and transformation strategies using ETL/ELT frameworks and technologies such as dbt, Airflow, and Kafka.
- Ensure the scalability, reliability, performance, and cost efficiency of Snowflake data platforms through effective architecture and optimisation techniques.
- Establish data security, governance, and compliance standards, including access controls, role-based permissions, data masking, and data protection policies.
- Provide architectural guidance to data engineering teams, review technical designs, and promote consistent engineering standards.
- Establish and maintain architectural best practices, technical documentation, and data design standards.
- Partner with engineering, analytics, product, and business teams to translate business requirements into effective technical solutions.
Qualifications
- Bachelor's or master's degree in Computer Science, Data Engineering, Information Technology, or a related discipline, or equivalent practical experience.
- Typically 7-10+ years of relevant experience in data engineering, data architecture, or analytics, with demonstrated experience in a data architecture or technical leadership role.
- In-depth knowledge of Snowflake architecture, advanced SQL skills, and experience with dimensional modelling techniques including Star Schema, Snowflake Schema, and Data Vault 2.0.
- Hands-on experience with dbt for data transformation and workflow orchestration tools such as Apache Airflow, Dagster, or Kafka.
- Knowledge of AWS cloud services, cloud-based data platform architecture, and tool integration such as Sigma and Qlik.
- Experience implementing enterprise data governance frameworks, security controls, and performance tuning within cloud data platforms.
- Experience working in Agile/Scrum environments and managing delivery activities using Jira.
Nice to have
- Snowflake and relevant cloud certifications.
Job details
- Location: Jersey City, NJ
- Status: Onsite
- Type: Contract
- Payrate: $75/hr
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
