01
TRCD-26-04235
Tech Lead / Lead Data Engineer (Enterprise Data Platform)
Lead the engineering delivery and operational excellence of an enterprise data platform, setting standards and best practices across Snowflake (or Databricks), dbt, PySpark, Python and SQL. You will build scalable, secure, reusable and GxP-compliant data pipelines, data products and semantic models, while owning DevOps/DataOps (CI/CD, testing, monitoring/observability, incident management and cost optimization). The role also requires strong data quality/governance practices and the ability to mentor engineers and collaborate with architects and business stakeholders in a regulated pharmaceutical environment.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 7 years and Maximum 10 years
Role overview
Why This Role Matters.
Lead the engineering delivery and operational excellence of an enterprise data platform, setting standards and best practices across Snowflake (or Databricks), dbt, PySpark, Python and SQL. You will build scalable, secure, reusable and GxP-compliant data pipelines, data products and semantic models, while owning DevOps/DataOps (CI/CD, testing, monitoring/observability, incident management and cost optimization). The role also requires strong data quality/governance practices and the ability to mentor engineers and collaborate with architects and business stakeholders in a regulated pharmaceutical environment.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Lead development of data pipelines, ingestion frameworks, reusable data products, and semantic models using Snowflake, dbt, and Python.
03
Own DevOps and CI/CD, including Git workflows, automated testing, deployment, and release management.
04
Implement DataOps capabilities including monitoring, observability, incident management, and cost optimisation.
05
Establish data quality frameworks, data contracts, and reusable engineering patterns.
06
Review code, mentor engineers, and provide technical leadership across internal teams and delivery partners.
07
Collaborate with architects, product owners, and business stakeholders to deliver high-quality data solutions.
08
Strong expertise in Snowflake(or Databricks), dbt, PySpark, Python, SQL, ETL/ELT, and cloud platforms (AWS or Azure).
09
Experience with CI/CD, Git, DevOps, DataOps, data quality, and data governance.
10
Good understanding of pharmaceutical domains, including Manufacturing, Supply Chain, Regulatory, and Quality.
11
Knowledge of GxP, GAMP, ALCOA+, and regulated software delivery practices.
12
Excellent problem-solving, communication, stakeholder management, and mentoring skills.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Snowflake
Required
02
Databricks
Required
03
dbt
Required
04
PySpark
Required
05
Python
Required
06
SQL
Required
07
ETL
Required
08
ELT
Required
09
AWS
Required
10
Azure
Required
11
CI/CD
Required
12
Git
Required
13
DevOps
Required
14
DataOps
Required
15
monitoring
Required
16
observability
Required
17
incident management
Required
18
data quality
Required
19
data governance
Required
20
data contracts
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Snowflake or Databricks
dbt
PySpark
Python
SQL
ETL/ELT data pipeline engineering
Cloud platform experience (AWS or Azure)
CI/CD and Git workflows
DevOps and DataOps practices (automation, monitoring/observability, incident management)
Data quality frameworks and data governance
GxP-compliant software delivery practices (GxP, GAMP, ALCOA+)
Technical leadership (code reviews, mentoring, engineering standards)
Preferred
Nice to Have
Cost optimization for cloud/data platforms
Semantic modeling / reusable semantic layer design
Data contracts
Release management practices
Pharmaceutical domain knowledge (Manufacturing, Supply Chain, Regulatory, Quality)
Stakeholder management and communication
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Tech Lead / Lead Data Engineer (Enterprise Data Platform)
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