Data Tech Lead

Orion Innovation; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Orion Innovation in Hyderabad seeks a Technical Lead - Data & Analytics to guide design of enterprise data capabilities, governance and cloud-native implementations.

Lead teams, shape architecture across ingestion, warehousing, metadata, AI-enabled solutions, and collaborate with business stakeholders to ensure practical, scalable outcomes.

Qualifications

• 7–10+ years of data & analytics experience with leadership of delivery teams.
• Strong understanding of data modelling, warehousing, Lakehouse and ETL/ELT knowledge.
• Hands-on with Python and SQL in enterprise data solutions.
• Cloud platform experience: Azure, AWS or GCP.
• CI/CD, automated testing and release automation experience.
• Docker and Kubernetes deployment experience.
• Exposure to agentic/Generative AI, LLMs, RAG and knowledge graphs.
• Snowflake data platform experience.
• Ability to design technically, guide engineers and review implementation quality.
• Strong communication with engineering and business stakeholders.

Responsibilities

• Lead solution design and delivery across Data & Analytics streams.
• Translate requirements into scalable technical designs and review code.
• Define engineering standards and mentor data engineers.
• Drive data ingestion, profiling, governance, metadata, lineage, quality and security capabilities.
• Design lakehouse/warehouse architectures with performance and scalability in mind.
• Deploy cloud-native solutions on Azure, AWS or GCP; manage security and operations.
• Establish CI/CD pipelines; manage Docker/Kubernetes deployments and observability.
• Collaborate with architects, product owners and subject-matter experts to deliver production-ready solutions.

Skills

Data leadership

Data modelling

Data warehousing

Lakehouse architecture

ETL/ELT

Python

SQL

Cloud platforms

CI/CD

Docker

Kubernetes

Generative AI

Snowflake

Knowledge graphs

Communication

Tools

Azure

AWS

GCP

Git-based development

Terraform

Job description

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Job Overview

We are seeking a Technical Lead - Data & Analytics to lead the design and delivery of enterprise-grade capabilities across enterprise data and analytics initiatives. The role requires strong grounding in data concepts, modern data engineering and analytics, metadata and governance, semantic and ontology-driven solutions, and cloud-native delivery practices. The successful candidate will provide technical direction, guide engineering teams, own design quality, and contribute directly to implementation.

Key Responsibilities

• Technical Leadership: Lead solution design and delivery across Data & Analytics workstreams; translate business requirements into scalable technical designs; conduct design and code reviews; define engineering standards; mentor developers and data engineers; manage technical risks and dependencies.
• Data & Analytics Capabilities: Drive implementation across data ingestion, extraction, profiling, standardization, cataloguing, metadata, lineage, data quality, governance, security, compliance, ontology and entity discovery, knowledge graph, unified query, self-service insights, metrics, monitoring and platform observability.
• Data Architecture & Engineering: Design solutions for structured, semi-structured and unstructured data; define conceptual, logical and physical models; establish ETL/ELT patterns; support lake, Lakehouse and warehouse architecture; ensure performance, scalability, reliability and maintainability.
• Cloud & Platform Engineering: Design and deploy cloud-native solutions on Azure, AWS or GCP; select fit-for-purpose managed services; apply security, networking, identity, resilience, cost and operational best practices.
• DevOps & Containerization: Establish source control, branching, automated build, test and release pipelines; package services and agents using Docker; deploy and operate workloads on Kubernetes; enable configuration, secrets, monitoring, logging and rollback practices.
• Agentic AI Enablement: Contribute to agentic and generative AI solutions, including agent orchestration, tool integration, retrieval-augmented generation, semantic and vector search, knowledge graphs, prompt and response controls, evaluation, guardrails and observability.
• Snowflake Delivery: Design and optimize Snowflake solutions covering ingestion, transformation, modelling, security, governance, data sharing, performance and cost management; integrate Snowflake with cloud, analytics and AI services.
• Stakeholder Collaboration: Partner with architects, product owners, business SMEs, governance teams and delivery leads; communicate designs clearly; support estimates, planning, demonstrations, production readiness and issue resolution.

Key Skills

• 7-10+ years of overall experience, primarily in Data & Analytics, with experience leading technical delivery teams or workstreams.
• Strong understanding of data modelling, data warehousing, Lakehouse architecture, ETL/ELT, data pipelines, data quality, metadata, lineage, governance, master/reference data and analytics consumption patterns.
• Hands‑on experience designing and building enterprise‑scale data solutions using Python, SQL and relevant data engineering frameworks.
• Experience with at least one major cloud platform: Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Practical experience with Git‑based development, continuous integration and delivery, automated testing, release automation and environment promotion.
• Hands‑on exposure to Docker and Kubernetes‑based deployment, including configuration, secrets, scaling, monitoring and troubleshooting.
• Working exposure to Agentic AI, Generative AI, LLM‑based applications, RAG, vector search, knowledge graphs or multi‑agent workflows.
• Experience with Snowflake architecture and development, including data pipelines, security, governance and performance optimization.
• Ability to independently own technical design, guide engineers, review implementation quality and resolve complex delivery issues.
• Strong communication skills, with the ability to explain technical decisions to both engineering and business stakeholders.

Preferred Experience

• Experience with Databricks, Microsoft Fabric or equivalent modern data and AI platforms.
• Exposure to business glossaries, semantic models, ontologies, entity resolution and enterprise knowledge graphs.
• Experience with orchestration or agent frameworks such as Lang Graph, Lang Chain, Semantic Kernel or similar technologies.
• Understanding of vector databases, model serving, prompt engineering, AI evaluation and responsible AI controls.
• Experience with Infrastructure as Code and platform automation using Terraform, Bicep, CloudFormation or equivalent tools.
• Prior experience delivering metadata-driven, governance-led, self-service or AI‑enabled data platforms.

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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