Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 164 days ago

Principal Data Engineer

Precision AQ41 open roles

Where
Remote, India
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal Data EngineerPrecision AQ · Remote, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Precision AQ's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Precision AQ postings stay open a median of 42 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 164 days ago

Precision AQ median: 42 days open

The posting

We are building the Data Hub, a centralized data platform responsible for consolidating legacy data infrastructure, establishing enterprise-grade data foundations, and enabling advanced analytics and AI capabilities across Precision AQ.

The Principal Data Engineer is a senior technical leader and hands-on contributor responsible for the design, implementation, optimization, and operation of the Data Hub’s core platform capabilities. This role sits at the intersection of data engineering, platform engineering, DevOps, architecture, and data governance. You will help define the technical direction of the platform while remaining actively involved in designing solutions, building infrastructure, reviewing code, troubleshooting production issues, and improving engineering practices.

This is not a management role. While you will mentor and guide junior engineers, analytics engineers, and platform contributors, you will not have direct reports. We are looking for an experienced practitioner who enjoys solving complex technical challenges, setting high engineering standards, and leading through expertise and influence rather than organizational hierarchy.

As a member of the Data Hub leadership team, you will contribute to technology strategy, roadmap prioritization, architecture governance, vendor evaluation, and executive reporting while remaining deeply engaged in day-to-day engineering activities.

Main duties and responsibilities

Infrastructure and Platform Engineering

  • Design, build, and maintain scalable, secure, and reliable cloud-native data platform infrastructure.
  • Develop infrastructure-as-code, CI/CD pipelines, deployment automation, and environment management processes.
  • Partner with Corporate IT, Security, and platform vendors to ensure compliance, reliability, and operational excellence.
  • Improve platform observability through monitoring, alerting, logging, and performance tracking.

Data Architecture and Modelling

  • Design scalable data models supporting analytics, reporting, AI/ML, and operational use cases.
  • Define and evolve data architecture standards, patterns, and best practices across the Data Hub ecosystem.
  • Ensure data solutions align with governance, lineage, security, and regulatory requirements.
  • Guide engineering teams in implementing maintainable and extensible data structures.

Data Engineering and Solution Delivery

  • Build and optimize data ingestion, transformation, and delivery pipelines across multiple business domains.
  • Lead technical design reviews and contribute directly to implementation of complex data engineering initiatives.
  • Collaborate with Product, Analytics, AI/ML, and business stakeholders to translate requirements into scalable technical solutions.
  • Provide hands-on support for critical platform initiatives, migrations, and modernization programs.

DevOps and Engineering Excellence

  • Establish and enforce software engineering, GitOps, DevOps, testing, and deployment standards.
  • Drive automation across development, deployment, monitoring, and operational processes.
  • Promote best practices for code quality, documentation, technical debt management, and release management.
  • Conduct architecture reviews and code reviews to ensure consistency and maintainability.

Quality, Performance, and Reliability Optimization

  • Identify and resolve performance bottlenecks across pipelines, databases, and infrastructure.
  • Define and implement data quality frameworks, automated validation processes, and operational controls.
  • Optimize platform cost, scalability, reliability, and processing efficiency.
  • Lead root-cause analysis and remediation efforts for production incidents and operational challenges.

Technical Leadership and Mentorship

  • Mentor Data Engineers, Analytics Engineers, and other technical contributors through coaching, code reviews, pair programming, and design guidance.
  • Act as a trusted technical advisor across multiple teams and business units.
  • Share knowledge, develop engineering standards, and promote continuous improvement across the Data Hub organization.
  • Help elevate the technical capabilities of the broader engineering team.

Strategic Planning and Cross-Functional Collaboration

  • Participate in Data Hub leadership activities, including roadmap planning, prioritization discussions, technology evaluations, and executive reporting.
  • Provide technical recommendations on platform investments, vendor selection, architecture direction, and engineering standards.
  • Collaborate closely with Data Product Management, AI/ML teams, business stakeholders, and Corporate IT to ensure alignment between business priorities and technical execution.

Education and Experience

Education: Bachelor’s degree in computer science, engineering, Information Systems, or related field. Equivalent experience considered. Advance degree preferred but not required.

Required:

  • 8+ years of experience in Data Engineering, Platform Engineering, Infrastructure Engineering, or related technical disciplines.
  • Demonstrated expertise designing and implementing modern cloud-based data platforms.
  • Strong hands-on experience with data warehousing, orchestration, transformation, and DevOps technologies.
  • Experience building and optimizing large-scale data pipelines and data models.
  • Deep understanding of software engineering principles, infrastructure automation, and production operations.
  • Experience operating in highly regulated, compliance-sensitive, or enterprise environments.
  • Proven track record of leading technical initiatives through influence rather than direct authority.

Preferred:

  • Experience within healthcare, life sciences, pharmaceutical, or analytics organizations.
  • Experience supporting AI/ML platforms, MLOps capabilities, feature stores, or model deployment frameworks.
  • Familiarity with claims, formulary, commercial, or real-world evidence datasets.
  • Experience leading enterprise-scale data migrations, modernization programs, or platform consolidations.
  • Exposure to global engineering teams and distributed delivery models.

Knowledge, Skills and Competencies

Technical Expertise

  • Advanced knowledge of cloud data platforms, modern data architecture, and platform engineering.
  • Deep expertise in data modelling, query optimization, and analytical data design.
  • Ability to evaluate and select appropriate technologies, frameworks, and architectural approaches.
  • Expert-level SQL and strong Python skills.

Infrastructure and DevOps

  • Strong understanding of CI/CD, GitOps, Infrastructure-as-Code, containerization, and deployment automation.
  • Experience implementing operational monitoring, incident management, alerting, and observability solutions.
  • Knowledge of security, access management, and platform governance best practices.
  • Strong understanding of scalability, resilience, and performance engineering.

Leadership and Influence

  • Leads through credibility, expertise, and collaboration rather than formal authority. Strong mentoring and coaching capabilities.
  • Comfortable facilitating technical discussions and driving consensus among diverse stakeholders and ability to influence architecture and technology decisions across teams.

Communication and Collaboration

  • Excellent written and verbal communication skills and able to communicate complex technical concepts to both technical and non-technical audiences.
  • Effective stakeholder management across engineering, product, business, and executive teams. Strong decision-making and prioritization skills in ambiguous environments.

Technical Environment

You will work across a modern data and AI ecosystem that may include:

  • Data Platforms: Snowflake, AWS Redshift, S3
  • Transformation: dbt, Matillion
  • Orchestration: Airflow, Dagster
  • Data Governance: Snowflake Horizon
  • Data Quality: dbt tests, Elementary
  • Infrastructure & DevOps: Terraform, GitHub Actions, Azure DevOps
  • AI/ML: Snowpark ML, MLflow, Snowflake Feature Store, LangChain
  • Languages: SQL, Python

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at [email protected].

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at [email protected] so we can investigate and take appropriate action.

Candidates must be legally authorized to work in the country of employment without employer sponsorship.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Precision AQ's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Precision AQ's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Precision AQ's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.