Cloud Data Transformation Practice Lead

About the job

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; • 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.

Requirements

• Cloud Data Transformation
• AWS
• Azure
• GCP
• Snowflake
• Databricks
• ETL/ELT
• data modeling
• Python
• SQL
• Spark
• DataOps
• data security

Qualifications

• 15+ years in data engineering

Preferred Technologies

• Cloud Data Transformation
• AWS
• Azure
• GCP
• Snowflake
• Databricks
• ETL/ELT
• data modeling
• Python
• SQL
• Spark
• DataOps
• data security

Benefits

• health
• dental
• vision
• life insurance
• paid time off
• sick time
• parental leave

About the company

Amdocs is a global leader in software and services for communications and media companies. We provide comprehensive solutions that enable our clients to offer exceptional customer experiences.