Mumbai Maharashtra Senior network security engineer Jobs – 141 Open Jobs Today

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Databricks Data Architect

HoonarTek
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
Cloud architecture
Business intelligence
Law
Computer Science
D3.js
Enterprise Software
Research
Ab Initio
Master's degree
SQL
AWS
Bachelor's degree
Continuous integration
Unity
APIs
Agile
S3
AI
Leadership
Python
Identity & access management
VPN

Full job description

Mumbai

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Looking for an experienced Senior Data Architect to design and lead the implementation of scalable, secure, and high-performance data platforms. The ideal candidate will have strong experience in Databricks, modern data architectures (Lakehouse), cloud platforms (Azure/AWS/GCP), and enterprise data strategy.

This role will drive data architecture decisions, enable advanced analytics and AI use cases, and ensure alignment with business objectives.

Key Responsibilities

1. Data Architecture & Strategy

Define and implement enterprise data architecture roadmap
Design modern data platforms (Lakehouse architecture) using Databricks
Establish data modeling standards (e.g., dimensional, medallion architecture)
Lead architecture for data ingestion, transformation, storage, and consumption layers
Design and define Databricks workspace architecture, including Cluster sizing and workload-based compute strategy and Workspace-level governance (Unity Catalog, access isolation)
Architect job orchestration and scheduling frameworks (Workflows / external schedulers)
Enable integration with Azure Key Vault / Secrets management systems, External APIs and enterprise systems, AI/LLM services for advanced analytics use cases
Perform capacity planning, sizing, and cost estimation for Databricks workloads

2. Databricks Platform Leadership

Architect and optimize solutions using Databricks (Delta Lake, Unity Catalog, Workflows)
Design ETL/ELT pipelines using PySpark, SQL, and notebooks
Implement Delta Lake features (ACID transactions, time travel, schema evolution)
Drive adoption of Databricks best practices and performance optimization
Design and validate cloud landing zone architecture for data platform
Drive the infrastructure sizing and cost optimization across compute, storage, and networking
Ensure secure data access patterns and network isolation for enterprise data platforms

3. Cloud Data Engineering

Design scalable solutions in Azure (preferred), AWS, or GCP
Integrate Databricks with services such as: Azure Data Factory / AWS Glue
ADLS / S3 / BigQuery
Build real-time and batch data processing pipelines

4. Data Governance & Security

Implement data governance frameworks using Unity Catalog or similar tools
Ensure data quality, lineage, cataloging, and compliance
Define and enforce data security and access management

5. Stakeholder Management

Collaborate with business stakeholders, data scientists, and engineering teams
Translate business requirements into scalable technical solutions
Provide architectural leadership across multiple projects

6. Performance & Optimization

Optimize data pipelines, storage, and compute costs
Implement monitoring, logging, and performance tuning mechanisms
Ensure high availability and scalability of data systems

7. Team Leadership

Mentor and guide data engineers and architects
Establish coding standards, best practices, and reusable frameworks
Lead design reviews and architecture governance forums

Job Requirement

Required Qualifications

Bachelor’s/Master’s degree in Computer Science, Engineering, or related field
10+ years of experience in data engineering / architecture
4+ years of hands-on Databricks experience
Strong expertise in: PySpark, SQL, Python, Delta Lake and Lakehouse architecture, Distributed data processing

Technical Skills

Must-Have

Hands on Knowledge of Databricks - Delta Lake, Unity Catalog, Lakeflow, Lakebase, Databricks Apps, Workflows, job scheduling, ETL/ ELT pipeline orchestration and more
Strong understanding of Databricks architecture (control plane vs data plane, workspace model)
Experience with Cluster sizing, autoscaling, and workload-based optimization, Cost estimation and performance tuning and FinOps
Building CI/CD pipelines and Declarative Automation Bundle (DAB) implementation
Exposure to AI/ML/LLM integrations within Databricks ecosystem (MLflow, external LLM APIs)
Strong understanding of cloud landing zone concepts (subscription design, governance, policies)
Understanding of enterprise security architecture for data platforms
Cloud platforms: Azure / AWS / GCP
Data modeling: Dimensional, Data Vault
Data warehousing
API and data integration patterns

Good-to-Have

Understanding of cloud network topology for secure data platforms - VNet injection, private endpoints, subnet isolation, NSG, Secure access to storage, Databricks, and external systems
Knowledge of hybrid connectivity models - On-premises integration (VPN, ExpressRoute), Cross-cloud architecture (AWS/Azure/GCP interoperability)
Identity and access management, Secret Management
Knowledge and Hands on with Data governance tools (Collibra, Alation or equivalent)
Real-time streaming design and implementation

Apply Now

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senior network security engineer jobs in mumbai maharashtra

Databricks Data Architect

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