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Applied Information Sciences is seeking a Senior Software Architect to lead Azure Data/Databricks initiatives for a federal customer. You will design secure data pipelines, modernize Oracle workloads, and drive analytics foundations with Azure services.
The role requires 5+ years in data engineering, hands-on experience with Azure Databricks, ADLS Gen2, Python, SQL, and data orchestration. You will collaborate with BI teams and stakeholders while upholding enterprise patterns and security
When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Software Architect.
As your initial project assignment, you will support the unique needs of our client as a Azure Data / Databricks Engineer.
AIS is seeking an Azure Data / Databricks Engineer to build secure, reliable Azure data pipelines and analytics foundations that modernize legacy Oracle workloads and enable governed reporting and analytics for a federal customer.
At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.
The targeted base salary range for this role is $195,000-$210,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.