Consulting Principal Lead (Cloud Data Transformation)

amdocs -
Pune, Maharashtra

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Job details

Benefits

Health insurance
Paid time off
Life insurance
Paid sick time

Qualifications

CI/CD
Data modeling
Azure
Spark
Encryption
Google Cloud Platform
SQL
AWS
Presentation skills
Continuous improvement
Continuous integration
AI
Communication skills
Python
Identity & access management

Full job description

Job ID: 206767
Required Travel : Minimal
Managerial - Yes
Location: :India- Pune (Amdocs Site)

Who are we?

In one sentence

As the Cloud Data Transformation Practice Lead, you will architect and deliver the modernization of enterprise data platforms—migrating on-premises, structured, and unstructured databases to scalable, cloud-native solutions on AWS, Azure, GCP, Snowflake, and Databricks. You will define frameworks and reusable assets for efficient, secure, and analytics-ready data transformation, enabling advanced analytics, AI/ML, and business value acceleration.

What will your job look like?

Key Responsibilities

Strategic Leadership: Define and execute the data transformation roadmap; drive business growth and practice differentiation
Reusable Assets & IP: Build and maintain reusable tools, accelerators, frameworks, and intellectual property for data migration, ETL/ELT, data modeling, and cloud-native pipelines
AI/ML & DataOps: Embed AI/ML capabilities into data solutions; champion DataOps practices (CI/CD, automated testing, monitoring, observability) for data workloads
Cloud Platform Expertise: Lead migrations to AWS, Azure, GCP, Snowflake, and Databricks; ensure best practices in data security, privacy, and compliance
Executive & Customer Engagement: Present technical solutions, transformation roadmaps, and business value to executives and customers; deliver technical briefings and workshops
RFPs, Proposals & SOWs: Actively participate in RFP responses, proposal development, and SOW creation for data transformation opportunities
Collaboration: Work closely with delivery, pre-sales/GTM and R&D teams to deliver integrated solutions
Mentorship: Lead and mentor teams, fostering a culture of innovation and continuous improvement

All you need is...

Key Responsibilities

Strategic Leadership: Define and execute the data transformation roadmap; drive business growth and practice differentiation
Reusable Assets & IP: Build and maintain reusable tools, accelerators, frameworks, and intellectual property for data migration, ETL/ELT, data modeling, and cloud-native pipelines
AI/ML & DataOps: Embed AI/ML capabilities into data solutions; champion DataOps practices (CI/CD, automated testing, monitoring, observability) for data workloads
Cloud Platform Expertise: Lead migrations to AWS, Azure, GCP, Snowflake, and Databricks; ensure best practices in data security, privacy, and compliance
Executive & Customer Engagement: Present technical solutions, transformation roadmaps, and business value to executives and customers; deliver technical briefings and workshops
RFPs, Proposals & SOWs: Actively participate in RFP responses, proposal development, and SOW creation for data transformation opportunities
Collaboration: Work closely with delivery, pre-sales/GTM and R&D teams to deliver integrated solutions
Mentorship: Lead and mentor teams, fostering a culture of innovation and continuous improvement

Technical Skills Required

15+ years in data engineering, with deep expertise in AWS, Azure, GCP, Snowflake, and Databricks.
Proven experience migrating on-premises structured/unstructured databases to cloud.
Mastery of ETL/ELT, data modeling, and building scalable data pipelines (batch, streaming, real-time).
Strong programming skills (Python, SQL, Spark) and experience with cloud-native data services.
Demonstrated experience with DataOps: CI/CD, data quality, lineage, and observability tools.
Hands-on experience embedding AI/ML into data platforms and enabling advanced analytics.
Data security, IAM, encryption, and regulatory compliance expertise.
Leadership and consulting experience, with strong communication and executive presentation skills

Data Monitoring & Observability Tools/Tech Stack

Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/EFK Stack, Datadog, CloudWatch (AWS), Azure Monitor, Google Cloud Operations Suite, OpenTelemetry, Great Expectations, Monte Carlo, and OpenLineage

Nice-to-Have

Certifications in AWS, Azure, GCP, Snowflake, or Databricks.

Experience with open-source data engineering tools.

Why you will love this job:

You will be challenged to strategize, direct and build a high performance organization; have the opportunity to use your forward-thinking and critical thinking to carry out regional responsibility or global responsibility based on your job; coordinate driving penetration into the existing and new opportunities and accounts to grow the overall business.
We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

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Who are we?

In one sentence

What will your job look like?

All you need is...

Why you will love this job:

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