Sr Lead Engineer - I Snowflake

Role description

Senior Data Engineer – Snowflake & dbt
Experience: 8+ Years | Location: Remote | Working Hours: PST Time Zone

Build what's next in Healthcare AI

CitiusTech is a leading digital and enterprise AI company for healthcare and life sciences organizations. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable. Leveraging deep domain expertise and next-generation technologies including AI, Cloud, Data, and Intelligent Automation, we assist our clients to realize their vision, accelerate transformation, and achieve business outcomes. With 7,700+ healthcare technology professionals worldwide, CitiusTech powers digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products.

Why CitiusTech

Healthcare isn't just another industry for us. It's our singular focus. For 21+ years, we have combined technology and domain expertise to shape better healthcare outcomes. As part of CitiusTech, you will build future-ready skills while becoming an expert in a domain where innovation creates real human impact. Here's an opportunity to be part of that journey.

What you'll be doing

As a Senior Data Engineer, you will design and implement scalable data models and pipelines that align with business objectives. You will develop and optimize data solutions using SQL, Snowflake, dbt, and Python, while supporting data profiling, data quality, performance optimization, CI/CD, and production reliability. You will collaborate closely with business leaders, Product, QA, and engineering teams to translate complex requirements into effective technical solutions.

Responsibilities

• Design and implement scalable data models and pipelines that align with business objectives.
• Develop complex dbt models using advanced capabilities including macros, packages, and custom materializations.
• Collaborate with business leaders to translate complex requirements into technical solutions.
• Identify and resolve performance bottlenecks in Snowflake queries and dbt models.
• Optimize Snowflake warehouse configurations and query performance.
• Perform data profiling to identify unique and primary keys and determine cardinality, data type, precision, scale, and data skew.
• Design and implement data quality frameworks and testing strategies.
• Create reusable dbt packages and macros for team-wide use.
• Manage CI/CD pipelines for dbt deployments.
• Review and approve pull requests from junior team members.
• Troubleshoot production issues and implement long-term solutions.
• Document architectural decisions and data lineage.
• Communicate effectively within the engineering team and externally across other teams, particularly Product and QA.
• Understand the scope and context of the work and proactively take initiative to achieve goals rather than waiting for specific direction.

What we're looking for

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Engineering, Data Science, or a related discipline.
• Relevant data engineering, Snowflake, dbt, or cloud data platform certifications are desirable.

Mandatory Technical Skills

• 8+ years of experience in Data Engineering and modern data platforms.
• Highly skilled to expert-level SQL expertise, including Common Table Expressions (CTEs), complex joins, and analytical and windowing functions.
• Strong data profiling skills, including the ability to identify unique and primary keys and determine cardinality, data type, precision, scale, and data skew.
• Some hands-on experience with Python; intermediate or higher proficiency is preferred.
• Strong understanding of data engineering, data quality, ETL/ELT, and performance optimization.
• Effective communication skills with the ability to collaborate across engineering, Product, QA, and business teams.
• Ability to understand the scope and context of work, take ownership, and proactively drive toward defined goals.

Mandatory Domain Skills

• Understanding of enterprise data engineering, data quality, and data management practices.
• Ability to translate business requirements into scalable engineering and data solutions.
• Experience working collaboratively across technical and business teams.

Preferred Qualifications

• Real-world, hands-on experience with Snowflake.
• Real-world experience developing data solutions using dbt.
• Experience with data modeling.
• Healthcare industry experience is desired, preferably within the healthcare payer domain.
• Intermediate or higher proficiency in Python is preferred.
• Experience working in Agile delivery environments.

Key Competencies

• Data Engineering & Architecture
• Advanced SQL
• Snowflake
• dbt
• Data Profiling & Data Quality
• Data Modeling
• Performance Optimization
• Problem Solving & Analytical Skills
• Stakeholder Collaboration
• Ownership & Initiative

Primary Skills

SQL, Snowflake, dbt, Python, Data Profiling, Data Modeling, Data Quality, ETL/ELT, Data Engineering, Performance Optimization, CI/CD.

Good to have skills

• Healthcare industry experience, preferably healthcare payer experience.
• Experience with advanced data modeling techniques.
• Intermediate or higher Python proficiency.
• Experience creating reusable dbt packages, macros, and custom materializations.
• Experience with automated data quality and testing frameworks.
• Experience managing CI/CD pipelines for dbt deployments.
• Experience with Snowflake warehouse configuration and performance tuning.

We are driven by one simple philosophy

Be You Be Awesome

• Faster growth
• Higher learning
• Stronger impact

You'll be encouraged to bring your perspective, challenge conventions, learn from experts, and contribute to work that directly influences the future of healthcare. Because when people are empowered to be themselves, they do their best work.

Build expertise beyond the role

At CitiusTech, learning doesn't stop with your project responsibilities. You'll have opportunities to build expertise across emerging technologies, industry domains, and next-generation engineering practices.

• AI & GenAI (LLMs, prompt engineering basics)
• Digital Engineering (DevOps & CI/CD, Full Stack Development)
• Data Engineering & Cloud (Modern Data Stack, Data Pipelines, Databricks / Snowflake)
• Interoperability & Integration (HL7 and FHIR)
• Cybersecurity (IAM, Azure Security, AWS Security Hub)
• Analytics (Advanced Analytics, Predictive / Prescriptive Analytics, AI/ML Models, Healthcare Analytics)
• Healthcare Platforms (Digital Health Platforms, Revenue Cycle Management - RCM)
• Product Engineering (Product-led Development, UX/UI Engineering, SaaS Product Engineering)

Growth that keeps pace with your ambition

Your career journey is supported through:

• CitiusTech Academy Programs
• Leadership Development Programs
• Mentorship Initiatives
• Capability-led Learning Tracks
• Specialized Healthcare Certifications

We invest in helping our people build future-ready skills and accelerate their professional growth.

Our approach to working

We design work environments that enable teams to deliver meaningful outcomes. Depending on project and client needs, you may work across on-site, hybrid, or flexible models to maximize impact and collaboration. This position is remote and requires availability during PST working hours.