Job Title: Data Engineering Lead
Location: Bangalore
Company: Connect and Heal
About Us
We are a fast-growing healthcare SaaS startup dedicated to revolutionizing patient care
through innovative technology solutions. Our platform empowers healthcare providers to
enhance operational efficiency, improve patient outcomes, and deliver exceptional
experiences. Join us in shaping the future of healthcare technology!
Job Overview
As the Data Engineering Leader, you will spearhead the development and execution of our
data strategy, architecture, and systems. You will lead a talented team of data engineers
while collaborating closely with cross-functional teams including data science, product,
engineering, and healthcare experts. Your role will involve scaling our data infrastructure,
ensuring data quality, and driving data-driven decision-making across the organization.
Key Responsibilities:
 Lead and Mentor: Build, manage, and mentor a high-performing data engineering
team, ensuring a culture of collaboration, innovation, and continuous improvement.
 Data Infrastructure: Architect, scale, and maintain the data infrastructure, including
data pipelines, ETL/ELT processes, and data warehousing, ensuring optimal
performance and reliability.
 Data Strategy: Drive the data strategy for the company, including data governance,
security, and compliance, ensuring data is accessible, accurate, and actionable for
stakeholders.
 Cross-Functional Collaboration: Work closely with Data Science, Product,
Engineering, and Healthcare teams to understand data needs and deliver solutions
that align with business objectives.
 HealthTech Expertise: Leverage your knowledge of healthcare data (HIPAA
compliance, interoperability, clinical data, etc.) to solve complex challenges and
ensure our solutions are both scalable and compliant.
 Continuous Improvement: Drive the continuous improvement of data engineering
processes, tools, and technologies to ensure scalability, speed, and agility in
handling growing data demands.
 Stakeholder Communication: Communicate effectively with leadership and business
stakeholders to set clear goals, timelines, and expectations around data initiatives.
 Innovation: Stay up-to-date with industry trends and new technologies, bringing
forward innovative solutions that can optimize our data engineering practices.
Key Qualifications:
 Experience: 8+ years of experience in data engineering, with at least 3 years in a
leadership role, ideally within a fast-paced, scaling SaaS or healthcare tech
company.
 Leadership Skills: Proven experience in leading, mentoring, and growing data
engineering teams, fostering a culture of innovation, collaboration, and accountability.
 Technical Expertise: Strong proficiency in data engineering technologies such as
SQL, Python, ETL frameworks (e.g., Apache Airflow), cloud platforms (AWS, GCP, or
Azure), and data warehousing (e.g., Snowflake, Redshift).
 Healthcare Domain Knowledge: Experience working with healthcare data, including
knowledge of HIPAA compliance, healthcare standards (HL7, FHIR), and
interoperability challenges.
 Big Data and Scalability: Hands-on experience in designing and implementing
scalable data pipelines for large datasets, including real-time data processing and
batch processing.
 Cloud and Distributed Systems: Experience with cloud-native data engineering
solutions and distributed systems, leveraging cloud storage, databases, and
processing frameworks.
 Data Modeling & Warehousing: Expertise in building and optimizing data models and
warehousing solutions that support analytical, operational, and business intelligence
needs.
 Problem-Solving: Strong analytical and problem-solving skills, with the ability to
tackle complex, large-scale data challenges in a fast-growing environment.
 Communication: Excellent communication skills, both written and verbal, with the
ability to translate technical concepts into clear and actionable business insights.
Preferred Qualifications:
 Experience with advanced analytics, machine learning pipelines, or AI-driven
healthcare applications.
 Knowledge of healthcare-specific databases and clinical data standards.
 Familiarity with Agile/Scrum methodologies and working in fast-paced, iterative
environments.
 Experience with data security and compliance frameworks, particularly in the
healthcare industry.
What We Offer
● Competitive salary and equity options.
● Opportunity to work in a mission-driven organization transforming healthcare.
● Professional development opportunities and access to cutting-edge tools.