Job Summary :

Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for an experienced Data Integration Manager, Corporate Data Services with proven experience in Data and DataOps to join our team.

We are on an exciting journey to build and scale our Data and Analytics capabilities to enable better data-driven decision making and AI capabilities across the business.

In this role, you play a pivotal role in driving our Data Strategy.

You will write code, set engineering standards, and drive delivery - while also leading and growing our team of Data Engineers in India.

What You will Do :

Team Leadership :

- 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 and share knowledge.

Data Pipelines and Integration :

- Design, build, and maintain ETL/ELT pipelines from enterprise applications, internal services, and third-party APIs.

- 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.

- Design and oversee data models in a medallion architecture.

- Mandate high standards for data validation, profiling, reconciliation, and quality initiatives.

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.

Strategic Leadership :

- Translate business goals into scalable data and automation solutions.

- 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.

We're Excited to Learn More About You :

- 3+ years of leading or managing data engineering teams.

- 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.

- Expert level knowledge of architecture frameworks, methodologies, and Data Modeling.

- Experience implementing Infrastructure as Code (IaC).

- A proactive mindset toward AI-assisted engineering.