Job Description

:

About the Role:

We are seeking an experienced

Data Architect

to lead the transformation of enterprise data solutions, with a strong focus on migrating Alteryx workflows into

Azure Databricks

. The ideal candidate will have deep expertise in the Microsoft Azure ecosystem, including

Azure Data Factory, Databricks, Synapse Analytics, Microsoft Fabric

, and a strong background in

data architecture, governance, and distributed computing

. This role requires both strategic thinking and hands-on architectural leadership to ensure scalable, secure, and high-performance data solutions.

Key Responsibilities:

Define the overall

migration strategy

for transforming Alteryx workflows into scalable, cloud-native data solutions on Azure Databricks. Architect end-to-end data frameworks leveraging

Databricks, Delta Lake, Azure Data Lake, and Synapse

. Establish

best practices, standards, and governance frameworks

for pipeline design, orchestration, and data lifecycle management. Guide engineering teams in re-engineering Alteryx workflows into distributed Spark-based architectures. Collaborate with business stakeholders to ensure solutions align with

analytics, reporting, and advanced AI/ML initiatives

. Oversee

data quality, lineage, and security compliance

across the data ecosystem. Drive

CI/CD adoption, automation, and DevOps practices

for Azure Databricks and related services. Provide

architectural leadership, design reviews, and mentorship

to engineering and analytics teams. Optimize solutions for

performance, scalability, and cost-efficiency

within Azure. Participate in

enterprise architecture forums

and influence data strategy across the organization.

Required Skills and Qualifications:

8+ years of experience in

data architecture, engineering, or solution design

. modernization into

Azure Databricks (Spark, PySpark, SQL, Delta Lake)

. Deep knowledge of the Microsoft Azure data ecosystem: + Azure Data Factory (ADF)
+ Azure Synapse Analytics
+ Microsoft Fabric
+ Azure Databricks
Strong background in

data governance, lineage, security, and compliance frameworks

. Demonstrated experience in architecting

data lakes, data warehouses, and analytics platforms

. Proficiency in

Python, SQL, and Apache Spark

for prototyping and design validation. Excellent leadership, communication, and stakeholder management skills.

Preferred Qualifications:

Microsoft Azure certifications

(e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate). Experience leading

large-scale migration programs

or modernization initiatives. Familiarity with

enterprise architecture frameworks

(TOGAF, Zachman). Exposure to

machine learning enablement

on Azure Databricks. Strong understanding of

Agile delivery

and working in multi-disciplinary teams.

Location

:
India - Bengaluru

Created On

:
09-Sep-2025