Senior Data Engineer / Data Architect(hybrid - Berkeley Heights, NJ/ Talend and Snowflake)
Role summary
Seeking a Senior Data Engineer / Data Architect with 7-10 years of experience to design, build, and optimize enterprise-grade data solutions, primarily using Snowflake and Talend. This hybrid role in Berkeley Heights, NJ, requires expertise in cloud data platforms (Azure, AWS, or GCP), modern ELT architectures, SQL, Python, and dbt. The position involves leading data migration initiatives, architecting scalable data models, and optimizing pipelines. Beyond technical execution, the role demands strategic leadership, translating business needs into technical solutions, and mentoring junior engineers. The ideal candidate will drive measurable business outcomes and ROI through their data solutions.
Senior Data Engineer / Data Architect(Talend and Snowflake)
Location:
Berkeley Heights, NJ
Experience Level:
Senior / Principal
Industry Focus:
Financial Services, Healthcare, Manufacturing, Fortune 500 Enterprise
Position Overview
We are seeking a highly experienced
Senior Data Engineer / Data Architect
to design, build, and optimize enterprise-grade data solutions in complex, large-scale environments. This role requires deep expertise in Snowflake, cloud data platforms, and modern ELT architectures, combined with strong business acumen and leadership capabilities.
You will play a key role in architecting scalable data warehouse solutions, leading data migration initiatives, and driving measurable business outcomes for enterprise clients.
This is not a hands-on developer-only role — we are looking for a strategic technical leader who can translate complex business problems into high-impact, scalable data solutions.
Key Responsibilities
Architecture & Engineering
- Design and implement enterprise data warehouse solutions using Snowflake.
- Architect and optimize large-scale ETL/ELT pipelines.
- Lead data migration initiatives from legacy systems to modern cloud platforms.
- Develop and maintain scalable data models using SQL, Python, and dbt.
- Implement performance optimization strategies achieving measurable improvements.
- Troubleshoot and resolve production data issues in mission-critical environments.
Cloud & Platform Strategy
- Design and implement data solutions across Azure, AWS, or GCP.
- Define best practices for cloud data architecture and governance.
- Ensure scalability, reliability, and security of enterprise data platforms.
Leadership & Stakeholder Engagement
- Translate complex business requirements into technical data solutions.
- Partner with executive stakeholders and cross-functional teams.
- Lead and mentor junior data engineers.
- Drive delivery across multi-stakeholder enterprise environments.
- Demonstrate measurable ROI through cost savings, performance gains, or SLA improvements.
Required Qualifications
- 7–10 years of relevant data engineering experience (minimum 5 years for exceptional candidates).
- Expert-level SQL proficiency.
- Expert-level Snowflake experience.
- Expert level Talend experience.
- Strong Python skills in a data engineering context.
- Experience with Azure, AWS, or GCP cloud platforms.
- Hands-on experience with dbt.
- Enterprise data warehouse design experience.
- Large-scale ETL/ELT pipeline implementation.
- Data migration project leadership experience.
- Experience mentoring or leading engineering teams.
- Bachelor’s degree in Computer Science, Engineering, or related technical field.
Preferred Qualifications
- Snowflake SnowPro Core certification (strongly preferred).
- Snowflake SnowPro Advanced Architect certification.
- Microsoft Azure Data or Solutions Architect certification.
- dbt certification.
- Master’s degree (MBA, M.S. in Data Science, Information Science, or related field).
- Experience in Financial Services, Healthcare, Manufacturing, or Fortune 500 enterprises.
- Demonstrated 30–90% performance optimization improvements.
- Proven record of measurable business impact (cost savings, system performance, SLA improvements).