Seeking a Sr. Lead Data Engineer to join a dynamic team on a contract-to-hire basis. This is an exciting opportunity to play a pivotal role in building and optimizing our data infrastructure as we scale our operations and innovate in the fintech space.

As a hands-on data engineering expert, you’ll design and implement scalable data architectures, build robust data pipelines, and work with modern technologies like Azure, Databricks, and Snowflake (or similar platforms). This role also offers growth potential into leadership, making it ideal for someone looking to shape the future of our data engineering team.

Key Responsibilities:

• Design and implement scalable data architectures to support business needs.

• Develop and optimize data pipelines for processing structured and unstructured data.

• Leverage Azure cloud services and tools like Databricks, Snowflake, or similar platforms.

• Collaborate with stakeholders to define data models and analytics strategies.

• Ensure data governance, security, and compliance in all solutions.

• Mentor and guide junior engineers, with potential to transition into a leadership role.

Qualifications:

• 5+ years of experience in data engineering with hands-on expertise in building scalable pipelines and architecting solutions.

• Experience with Databricks, Snowflake, or comparable platforms (e.g., Redshift, BigQuery).

• Strong skills in SQL, Python, or equivalent languages.

• Proficiency in Azure.

• Proven ability to design and implement efficient data models for OLAP and OLTP systems.

• Familiarity with data governance and compliance best practices.