Omnicom Global Solutions
Website:
omnicomgroup.com
Company:
https://www.linkedin.com/company/omnicomglobalsolutions
Industries: IT Services and IT Consulting
Job details:
Join us at OGS
We are OGS—Omnicom's Integrated Solutions Engine that brings together a global talent community and connected capabilities in data, creative, media, commerce, and technology to build adaptive, future-ready solutions.
We are redefining the global capability center - not as an offshoring hub, but as a true inside edge. OGS is the place where the future is tested, built, and scaled for the world’s most ambitious agencies and clients.
With over 4300+ talented professionals in India, we are proud to be a diverse, inclusive, and collaborative community that thrives on innovation and excellence. Our teams work with some of the world’s most iconic brands, helping them move faster and achieve more—everywhere. We are growing rapidly and looking for passionate individuals to be part of this journey.
Role Overview:
We are seeking an experienced AWS Tech Lead to lead our organization's strategic migration from Informatica & Oracle to Databricks and oversee the modernization of our data infrastructure on AWS. This is a critical technical leadership role that combines hands-on expertise with mentoring responsibilities, driving both technical excellence and organizational capability development in cloud-native data platforms.
The successful candidate will provide technical vision and direction for our Databricks migration initiative, lead a team of data Engineers and Data QA, and ensure enterprise-grade data management practices, design patterns, and architectural standards are implemented across all projects.
Databricks architecture, best practices, and implementation strategies:
- Team Development – Coaching and mentoring senior data engineers and data engineers on Databricks and enterprise data migration and management principles
- Quality & Standards – Establishing and enforcing data management best practices, design patterns, and architectural standards
- Solution Design & Review – Collaborating on technical designs, architecture decisions, and code quality oversight
- Cross-Functional Collaboration – Working with stakeholders, solution architects, and business teams to align technical solutions with organizational needs
Migration Leadership:
- Lead the technical strategy and execution of the Informatica-to-Databricks migration project
- Identify specific migration challenges, data models, and integration points unique to Informtica-to-Databricks conversions
- Develop detailed migration plans, schedules, and risk mitigation strategies
- Oversee performance optimization and ensure data integrity throughout migration phases
- Document lessons learned and establish reusable migration patterns for future projects
Technical Architecture & Design:
- Provide technical leadership on AWS and Databricks architecture decisions
- Participate in designing data pipelines, schemas, and integration solutions
- Conduct technical design and code reviews to ensure adherence to best practices and architectural standards
- Identify and resolve complex technical challenges related to data modeling, partitioning, indexing, and performance
- Collaborate with cloud architects and solution designers on enterprise scale solutions
- Ensure proper understanding of how concepts transfer across platforms
Team Leadership & Development:
- Coach and guide senior data engineers and data engineers on Databricks, AWS, and relational database best practices
- Establish data management standards and enforce them across the team
- Help team members understand data integrity, modeling principles, and enterprise database concepts
- Mentor the team on avoiding anti-patterns in data architecture and management
- Create a culture of technical excellence, continuous learning, and knowledge sharing
- Conduct code reviews and design reviews with constructive feedback
- Assist with team onboarding, skill development, and capability building
Core Technical Experience:
- AWS (PRIMARY FOCUS) – 5+ years of hands-on
- Databricks experience; deep expertise in Databricks architecture, cluster management, and data processing
- Relational Databases (ADVANCED) – 7+ years of advanced relational database expertise including design, optimization, and data integrity concepts
- Oracle Experience (HIGHLY PREFERRED) – 3+ years of Oracle database administration, development, or architecture; understanding of Oracle-specific concepts and optimization techniques
- AWS Cloud Platform – 4+ years of AWS experience; proficiency with AWS data services, storage, networking, and integration services
- Data Platforms & Tools – Experience with modern data stack tools; understanding of ETL/ELT, data warehousing, and data lake concepts
Leadership & Project Experience:
- Technical Leadership – 3+ years in a technical lead or architect role with proven mentoring and team development experience
- Project Leadership – Experience leading complex technical projects, preferably including migration, modernization, or platform transformation initiatives
- Team Management – 2+ years managing or leading technical teams with full responsibility for performance and development
- Migration Experience (HIGHLY PREFERRED) – Experience leading database migrations or platform modernization projects; understanding of migration challenges, data validation, and cutover processes
REQUIRED KNOWLEDGE & ABILITIES
Technical Competencies:
- Data Modeling & Database Design – Expert-level understanding of relational design, normalization, data integrity constraints, and dimensional modeling
- SQL & Query Optimization – Advanced SQL proficiency; ability to optimize queries and troubleshoot performance issues
- Databricks Ecosystem – Spark, Delta Lake, MLflow, Notebooks, jobs, clusters, and production deployment patterns
- Data Pipeline Architecture – ETL/ELT design, data orchestration, error handling, and monitoring
- AWS Services – S3, EC2, IAM, VPC, KMA, CloudWatch, etc
- Programming/Scripting – Python, PySpark, SQL, and scripting for data engineering tasks
- Cloud Architecture Principles – Scalability, security, cost optimization, and disaster recovery
Location - Bangalore, Chennai & Hyderabad
Shift - 2 to 11 pm
Hybrid model
Click on Apply to know more.