Manager Data Integration

• Lead and mentor a growing team of data engineers, including talent reviews and career development.
• Own planning, estimation, prioritization, and delivery tracking that aligns with leadership direction and expectations.
• Coordinate intake and stakeholder communication for data requests and roadmap planning.
• Set and enforce compliance with architecture standards, engineering standards for code quality, testing, documentation, and production readiness.
• Foster a culture of curiosity and continuous learning, where engineers explore new technologies, share knowledge, and .

• Design, build, and maintain ETL/ELT pipelines from enterprise applications, internal services, and third-party APIs.
• Design, develop, operationalize robust and scalable data pipelines from enterprise applications, internal services, and third-party APIs that support business needs.
• Lead in designing and building production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery, DBT, SQL, Apache Airflow, Celigo etc.
• Drive AI adoption across the team's engineering workflows - the team has a mandate for AI adoption, and you'll be expected to be a role model, to champion, remove friction, and help engineers integrate AI tools into their daily development, code review, documentation, and debugging practices.
• Design and oversee data models in a medallion architecture.
• Mandate high standards for data validation, profiling, reconciliation, and quality initiatives.
• Stay updated with industry trends and technologies to continuously improve our data engineering practices.

Reliability and DataOps

• Build monitoring and alerting for data jobs, orchestration, and lakehouse health.
• Participate and evolve production support, incident response, and on-call rotations.

• Translate business goals into scalable data and automation solutions in partnership with both business and technology stakeholders.
• Champion data democratization and self-service access to data and analytics across the company.
• Evaluate and recommend tools and end-to-end solutions across Analytics, Data Engineering, ML Engineering and Data Governance.
• Apply systems thinking to identify underlying problems and/or opportunities.

• 3+ years of leading or managing data engineering teams with an emphasis on data analytics, devops and modern data platforms.
• 5+ years of hands-on data engineering experience in cloud environments.
• Direct experience in design and development of large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
• Experience in implementing cloud data solutions in the context of business applications, cost optimization, business strategic needs and future growth goals as it relates to becoming a data- driven organization.
• Expert level knowledge of architecture frameworks, methodologies, and tools.
• Solid working understanding across all the disciplines within a data team - Data Visualization, Data Governance Artificial Intelligence and Machine Learning.
• Experience implementing Infrastructure as Code (IaC), with regards to automating Cloud IAM and Data Policy Tags.
• Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
• Expert level knowledge of Data Modeling.
• Strong execution habits: you create and maintain project timelines, know when things are off track before your team tells you.
• A proactive mindset toward AI-assisted engineering - you should already be using AI tools (Copilot, Claude, ChatGPT, or similar) in your own work and have opinions about how they change engineering workflows, code quality, and team productivity. We're looking for someone who sees AI as a multiplier.

When You Join Team Applied, You Can Expect:

A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter.

We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together , collaborating remotely and in-person to empower our teams to work in the ways that work best for them.

Learn more about the people behind our products at –

• https://www1.appliedsystems.com/en-us/about-us/jobs/

Our candidates’ personal information and online safety are top of mind for us.

At Applied, we proactively protect your personal information and only communicate with candidates via a secure@appliedsystems.com email or through our official career’s portal.

Applied Systems is proud to be an Equal Employment Opportunity Employer.

Diversity and Inclusion is a business imperative and is a part of building our brand and reputation.

At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.