Data Architect - Harrisbrug PA

Acclaim Systems; Harrisburg (Dauphin County); On-site; USD 120,000 - 170,000; Full time

Job summary

Acclaim Systems in the United States is seeking a seasoned data architect/engineer to drive enterprise data initiatives. You will design data architectures, implement data warehouse models, and work with Snowflake, Databricks and MongoDB across AWS, Azure and Google Cloud.

Responsibilities include ensuring data security and regulatory compliance, leading data quality programs, and supporting modernization efforts across multiple domains. Onsite work is required: 1 day per week in Harrisburg area.

Qualifications

• Experience in data architecture, information architecture or enterprise architecture.
• Hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse
• Experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, Google Cloud Platform
• Experience working with data security, privacy and regulatory requirements for handling sensitive data
• Experience in designing and implementing data quality initiatives, including platforms and tooling
• Experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders

Skills

Data architecture

Data engineering

Database design

Data quality

Digital transformation

Data security

Regulatory/compliance

Tools

Snowflake

Databricks

MongoDB

AWS

Azure

GCP

Job description

US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.

Onsite - 1 day/week

• Experience in data architecture, information architecture or enterprise architecture.
• Hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse
• experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, Google Cloud Platform
• experience working with data security, privacy and regulatory requirements for handling sensitive data
• experience in designing and implementing data quality initiatives, including platforms and tooling
• experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders