"Alerted.org

Job Description

We are seeking an experienced Data Architect to lead and shape our GenAI

Insights team. This role will focus on designing, implementing, and

optimizing scalable data solutions across Azure and modern data platforms.

The Data Architect will oversee a team of Data Engineers, ensure best

practices in data quality and governance, and drive insights delivery through

advanced analytics and visualization tools.

Key Responsibilities

o Leadership & Strategy

• Lead and mentor Data Engineering teams, fostering a culture of

collaboration, innovation, and continuous improvement.

• Define and own the overall data architecture vision, ensuring

alignment with organizational goals and industry best practices.

• Partner with business leaders to translate strategic objectives into

scalable data solutions.

o Data Architecture & Engineering

• Design, build, and manage modern data platforms leveraging Azure

Data Lake, Azure SQL Server, Databricks, Microsoft Fabric, and

NoSQL databases.

• Develop and maintain scalable data pipelines to integrate data from

multiple structured and unstructured sources.

• Establish and implement data quality engineering practices to

ensure consistency, accuracy, and reliability across data assets.

• Drive adoption of data governance and security frameworks to

protect and manage enterprise data.

• Knowledge of advanced analytics, machine learning, or AI-based

solutions.

o Analytics & Insights

• Enable data-driven decision making by designing solutions that

deliver timely, trusted, and actionable insights.

• Collaborate with business intelligence teams to build Power BI

dashboards and executive-level reporting.

• Partner with executive leadership to present insights in a clear,

compelling, and strategic manner.

• Understanding of Generative AI tooling and the ability to integrate AI

into generating insights for the data

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

- Bachelor's degree in computer science, Information Systems, Data Engineering, or a related discipline.

- 5+ years of overall professional experience in data engineering, architecture, or analytics roles.

- Relevant data engineering certifications (e.g., Microsoft Certified: Azure

Data Engineer Associate, Databricks Certified Data Engineer, Microsoft Fabric Analytics Engineer Associate)

- Proven experience leading and managing Data Engineering teams in enterprise environments.

- Strong expertise with SQL Server, Azure Data Lake, Databricks, and Microsoft Fabric.

- Hands-on experience with NoSQL databases (Cosmos DB, MongoDB, Cassandra, or equivalent).

- Demonstrated skills in data quality engineering, including profiling, validation, and monitoring of enterprise data.

- Proficiency in developing and deploying Power BI dashboards and enterprise reporting solutions.

- Demonstrated success in building data pipelines to integrate and transform

data from multiple sources.

- Strong knowledge of Azure cloud services, data storage, security, and governance.

- Exceptional communication skills, with the ability to convey complex technical concepts to executive stakeholders