VP/Director Data Architect - Wealth Management Data Lead

Wissen Australia Pty; Alpharetta, Northern (GA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Wissen Technology is seeking a Vice President/Director – Data Architect to lead data engineering initiatives for flagship engagements in the US wealth management domain. This is a high‑impact, hands‑on leadership role within a fast‑growing technical consulting firm.

You will partner with stakeholders to define, develop and deliver data solutions across warehousing, data lake, ETL, and analytics, while guiding teams and ensuring best practices in cloud, scripting, and visualization tools.

Qualifications

• Significant design and development experience with Data warehousing, data engineering, database programming.
• Strong experience in python, spark, Datalake and relational databases.
• Good integration experience in scripting languages and scheduling mechanism such as Autosys.
• Exposure to cloud platforms like AWS or Azure.
• Exposure to visualization tools like power BI or Tableau.
• Experience in a fast‑paced environment with a proven ability to balance multiple competing priorities simultaneously.
• A “get it done right” mentality.
• The ability to work independently and demonstrate sound judgment.
• The ability to communicate effectively both orally and in

Responsibilities

• As a Vice President/Director help to develop and promote the company’s culture of engineering excellence
• Define, develop and deliver solutions at a top tier investment bank or another esteemed client
• Perform other duties as needed

Skills

Data warehousing

Data engineering

Database programming

Python

Spark

Relational databases

Tools

Autosys

AWS

Azure

Power BI

Tableau

Job description

Wissen Technology is seeking a Vice President/Director – Data Architect to lead data engineering initiatives for flagship engagements in the US wealth management domain. This is a high‑impact, hands‑on leadership role within a fast‑growing technical consulting firm.

You will partner with stakeholders to define, develop and deliver data solutions across warehousing, data lake, ETL, and analytics, while guiding teams and ensuring best practices in cloud, scripting, and visualization tools.