Job Description

Location: Gurugram, India

Date Posted: Jan 12, 2026

Description

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work--guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&M.

The Team

Our DTS team covers the full breadth of Technology Consulting and M&A services, including -

Technology M&A and Strategy - Assist clients to manage the technology aspects and business enablement of complex M&A, integrations and carve-outs as well as post-deal value creation Technology Consulting - End to end technology advisory for clients, including developing technology roadmaps, platform/cloud/data advisory as well as transformation excellence for a digital transformation Data & AI services - Helping clients in harnessing the power of data and cutting-edge analytics to drive intelligent decision-making and transform businesses. Develop GenAI and Agentic AI solutions that create real business value for clients through process re-invention

How you will contribute

The

Senior Data Engineer/Manager

is a critical role responsible for building and maintaining

trusted, scalable, and AI-ready data foundations

that power enterprise analytics, machine learning, and Generative AI solutions. This role sits at the intersection of

data platforms, AI systems, and business consumption layers

, ensuring that data used by AI models is

accurate, consistent, well-modeled, and governed

. The Senior Data Engineer works closely with AI architects, data scientists, backend engineers, and business stakeholders to translate raw operational data into

high-quality, reusable data assets and features

. In enterprise AI environments, failures often originate from

data gaps, poor semantics, or inconsistent pipelines

rather than from models themselves. This role exists to prevent such silent failures by enforcing strong data engineering discipline, observability, and reliability.

Key Responsibilities

1. Data Architecture & Canonical Modelling

Define and maintain canonical data models across source systems, analytical platforms, and AI consumption layers Establish and enforce data contracts between data producers and consumers Manage schema evolution and backward compatibility to protect downstream dependencies Partner with AI architects to optimize data models for ML and GenAI workloads, including features, embeddings, and metadata

2. Data Ingestion & Integration

Design, build, and operate robust data ingestion pipelines from enterprise systems, external APIs, files, logs, and streaming sources Select and implement batch or streaming ingestion patterns based on latency, cost, and business requirements Build reusable ingestion frameworks and connectors to accelerate onboarding of new data sources

3. Data Transformation, Quality & Observability

Develop scalable transformation pipelines using PySpark and SQL, optimized for performance and cost Implement transformations supporting analytics, ML feature engineering, and GenAI grounding use cases Define and enforce data quality standards covering completeness, accuracy, consistency, and timeliness Implement automated data validation, reconciliation, anomaly detection, and freshness checks Build observability dashboards and alerts to detect pipeline failures, data drift, and volume anomalies early

4. Semantic Layers, Feature Engineering & Platforms

Design and maintain semantic layers with consistent business definitions for analytics and AI Build and manage reusable, versioned feature pipelines for ML and GenAI use cases Ensure feature lineage and traceability back to source systems Support training, inference-time feature access, and RAG pipelines in collaboration with AI teams Work with modern data platforms including Databricks, Spark-based processing, and cloud-native storage and compute Support multi-cloud data architectures across Azure, AWS, and GCP

5. Security, Governance & Compliance

Implement data access controls, masking, encryption, and secure data handling patterns Ensure compliance with enterprise security, privacy, and governance standards Support lineage, auditability, and traceability in collaboration with governance teams Prepare data assets to support Responsible AI and regulatory compliance initiatives

6. Collaboration & Delivery

Collaborate with GenAI & Data Solution Architects, Data Scientists, AI Engineers, Backend and Platform Engineers, QA, and Delivery teams Participate in Agile ceremonies including sprint planning, backlog refinement, and reviews Provide technical guidance and mentoring to junior data engineers

Qualifications

5-8 years of experience in data engineering or analytics engineering roles Proven experience building and operating production-grade data pipelines in enterprise environments Hands-on experience supporting AI/ML or advanced analytics workloads Strong proficiency in Python, PySpark, and SQL Hands-on experience with Databricks or similar Spark-based platforms Experience with data ingestion tools, connectors, and APIs Familiarity with feature engineering pipelines and AI data requirements Exposure to cloud and multi-cloud data platforms (Azure, AWS, GCP) Strong analytical and problem-solving skill High attention to detail and data correctness Ability to communicate data issues and trade-offs clearly to diverse stakeholders Collaborative mindset focused on building reusable, scalable data platform

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

Inclusive Diversity

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A&M's entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work--guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity--are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way.

Equal Opportunity Employer

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It is Alvarez & Marsal's practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .

Unsolicited Resumes from Third-Party Recruiters

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Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.