Senior Data Analytics Architect - L4 (Snowflake, Palantir, Alteryx, SQL, Power BI)

Duration: 6 months Contract - W2 - 2-3 days onsite and then work from home**

**Possibility role can convert to direct hire**

**9/80 work schedule** | **Hybrid schedule.

** U.S. Citizenship only, no dual citizenship**

Senior Data Analytics Architect - L4 (Snowflake, Palantir, Alteryx, SQL, Power BI) - mix of BI, analytics, data warehousing, and stakeholder-facing experience,

Client is seeking an experienced Data Analytics Scientist with extensive expertise in data modeling, data architecture, code architecture, system design, business intelligence, project management, and operational insights. The ideal candidate will possess a strong track record with relational database management systems and data warehouse development, transforming complex data into actionable insights. Through use of data analytics, data visualization and data modeling techniques and technologies, the data scientist/architect will develop and support dashboard solutions that can help other departments, managers and executives make strategic and tactical business decisions. This individual will be key in supporting and developing new tools and providing comprehensive support to internal customers, requiring strong skills in data validation. The Data Analytics Architect will develop and support data lake, warehouse solutions, analytic models and reports, to enable strategic and tactical business decisions through advanced data analytics, data visualization, and data modeling techniques.

Education:

Bachelor’s Degree and minimum 6 to 8 years of prior relevant data analytics experience.

Graduate Degree and a minimum of 4 to 6 years of prior related data analytics experience.

In lieu of a degree, minimum of 10 years of prior related data analytics experience.

Skills: Required:

• 6+ years experience working with relational database management systems (Oracle).

• 3+ years experience with Snowflake, Palantir, and/or Alteryx.

Essential Functions:

o Lead and manage analytics and BI-related project activities, ensuring deliverables align with program schedules, stakeholder requirements, and operational priorities

o Develop, maintain, and enhance Power BI dashboards, standardized reports, KPI frameworks, and data visualizations to support leadership decision-making.

o Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other enterprise platforms to support business operations, supply chain visibility, program performance, and financial analysis.

o Utilize project management tools such as Azure Dev Ops or Jira for c oordinating and prioritizing tasks across the BI organization

o Support self-service analytics initiatives by defining data requirements, creating documentation, and establishing data-quality and governance practices.

o Identify analytics gaps, process bottlenecks, and improvement opportunities; recommend solutions that enhance efficiency across programs and functional organizations.

o Coordinate with IT, data engineering, and other technical teams to ensure BI tools, datasets, and data pipelines meet business needs—without requiring deep data-architecture ownership.

o Present findings and recommendations to executives and cross-functional audiences in clear, business-oriented language.

o Stay current on BI, analytics, visualization, and data driven program management best practices.

Desired:

• Strong critical thinking and problem-solving skills.

• Experience working across cross-functional teams to influence outcomes.

• Ability to analyze large datasets, uncover trends, and present data-driven insights.

• Experience with project management tools (ADO, Jira )

• Knowledge of cloud platforms (AWS, Azure, GCP ) and data warehousing best practices

• Experience in Aerospace & Defense, Manufacturing, or Supply Chain industries.

• Experience utilizing SQL for data extraction and database management.

• Experience with programming languages, such as JavaScript and Python .

• Experience with full-stack application development.