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Über
Staffworxs , we don't just connect talent - we power transformation. Headquartered in
Frisco, TX , with teams in
Bengaluru
and
Hyderabad , we combine global reach with deep expertise. Our
Digital & Data Analytics
practice drives growth and innovation for some of the world's top
Client brands , who continue to retain us as their trusted partner. If you're ready to make an impact, you're in the right place.
Job Details
Title:
Lead Data Engineer / Data Architect Location:
New York City, NY (Onsite - 5 days/week) Duration:
6-12 Months Contract Pay Rate:
Open, DOE Client Industry:
Financial Services / Asset Management / Alternative Investments Skills Required: Data Architecture | Data Modelling | SQL | Python | AWS (Glue, EMR) | Snowflake | Data Engineering Design Patterns | Data Governance | Financial Data Domain
Job Description
We are seeking an experienced
Lead Data Engineer / Data Architect
to lead the design, development, and implementation of an enterprise-grade data platform for our financial services client. This role will be key in defining and driving the organization's
data engineering strategy , ensuring scalability, performance, and innovation. The ideal candidate brings deep
technical expertise , proven
leadership skills , and a strong understanding of
financial data domains .
Key Responsibilities:
Lead data architecture and engineering strategy, aligning with overall business and technology roadmaps. Design and implement
data models ,
pipelines , and
integration frameworks
across multiple platforms. Partner with stakeholders to translate business requirements into scalable, high-performance data solutions. Optimize data pipelines for performance, scalability, and reliability, including
query tuning
and
resource management
within
Snowflake . Drive adoption of
data engineering best practices
and
modern cloud architectures . Implement and monitor
data validation and quality procedures
to ensure data accuracy and consistency. Collaborate closely with project managers, data architects, and business analysts to align milestones and deliverables. Mentor and guide
onsite and offshore data engineering teams
to deliver high-quality solutions. Ensure adherence to
data governance, security, and privacy standards . Maintain comprehensive
documentation
of data pipelines, data flows, and transformation logic. Troubleshoot and resolve
pipeline issues , including job failures and performance bottlenecks. Required Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field. 8+ years of experience in
data engineering , with a strong focus on
data architecture, data modelling (conceptual, logical, physical), ELT , and pipeline development. Hands-on experience with the
Snowflake
platform, including
data sharing ,
secure views , and
performance optimization . Proficiency in
SQL
and familiarity with
ETL/ELT tools
and
WS technologies
(Glue, EMR). Strong working knowledge of
Python
for data engineering workflows. Solid understanding of
data engineering design patterns
and
cloud data ecosystems . Excellent analytical and problem-solving skills with the ability to work independently. Strong communication and collaboration skills for engaging both technical and non-technical stakeholders. Preferred Qualifications:
Snowflake
or other relevant
data engineering certifications . Prior experience in
sset management
or
lternative investments , with exposure to
data security and compliance
requirements. Familiarity with
data orchestration tools
(e.g., Apache Airflow) and
data visualization platforms
(e.g., Tableau, Power BI).
Staffworxs
is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
Sprachkenntnisse
- English
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