Cloud Leader-Data Migration ( Customer Engineering )

Niveus Solutions; Mumbai; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading IT services firm is seeking a Cloud Leader-Data Migration in Mumbai, Maharashtra. The role involves developing data architectures on Azure and GCP, optimizing ETL/ELT pipelines, and mentoring junior team members. Candidates should have 5+ years of experience in data architecture and strong proficiency in cloud data services. This full-time position offers opportunities for significant professional impact in a dynamic environment.

Qualifications

• 5+ years of experience in data architecture and data warehousing.
• Strong proficiency in Azure and GCP data services.
• Expertise in ETL/ELT tools and techniques.

Responsibilities

• Develop comprehensive data architectures on Azure and GCP.
• Design data models for efficient data analysis.
• Optimize ETL/ELT pipelines using relevant tools.

Skills

Data Architecture

ETL/ELT

Data Governance

Scripting (Python, SQL, Scala)

Cloud Platform Expertise (Azure, GCP)

Team Leadership

Collaboration

Education

Bachelor's degree in Computer Science, Data Science, or a related field

Tools

Azure Databricks

GCP BigQuery

Snowflake

Hadoop (HDFS, MapReduce, Spark)

Job description

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About Us

Niveus Solutions is a dynamic and innovative organization dedicated to leveraging data to drive business growth and decision‑making. We are seeking a highly skilled Senior Data Architect to join our team and play a pivotal role in designing, building, and maintaining robust data platforms on Azure and GCP.

Responsibilities

• Solutioning and Consultation
  • Data Architecture: Develop and implement comprehensive data architectures, including data warehouses, data lakes, and data lake houses, on Azure and GCP platforms.
  • Data Modeling: Design and create data models that align with business requirements and support efficient data analysis and reporting.
  • ETL/ELT: Develop and optimize ETL/ELT pipelines using tools like Databricks, Azure Data Factory, or GCP Data Fusion to extract, transform, and load data into various data stores.
  • Data Warehousing: Design and implement scalable data warehouses on Azure Synapse Analytics or GCP BigQuery to support enterprise reporting and analytics.
  • Data Lakehouses: Design and implement data lakehouses on Azure Databricks or GCP Dataproc to enable unified data management and analytics.
  • Hadoop Ecosystem: Leverage Hadoop components (HDFS, MapReduce, Spark) for distributed data processing and analysis.
  • Data Governance: Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance.
• Scripting: Write scripts using languages like Python, SQL, or Scala to automate data tasks and integrate with other systems.
• Cloud Platform Expertise: Deep understanding of Azure and GCP cloud platforms, including their data services, storage options, and compute resources.
• Team Leadership: Mentor and coach junior data architects and data engineers.
• Collaboration: Collaborate with business stakeholders, data analysts, and software developers to understand data requirements and deliver solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data architecture, data warehousing, and data lakehouse implementation.
• Strong proficiency in Azure and GCP data services, including Azure Synapse Analytics, Azure Databricks, GCP BigQuery, Snowflake, Databricks and GCP Dataproc.
• Expertise in ETL/ELT tools and techniques.
• Solid understanding of Hadoop components and distributed data processing.
• Proficiency in scripting languages like Python, SQL, and Scala.
• Experience with data governance and compliance frameworks.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.

Bonus Points

• Certifications in Azure Data Engineer Associate or GCP Data Engineer.
• Experience with real‑time data processing and streaming technologies at scale.
• Knowledge of data governance, data security, and compliance frameworks.
• Experience with data visualization tools like Power BI, Tableau, or Looker.
• Familiarity with machine learning and artificial intelligence concepts.
• Knowledge of cloud‑native data platforms and technologies.

If you are a passionate data architect with a proven track record of delivering successful data solutions, we encourage you to apply. Join our team and make a significant impact on our organization's data‑driven journey.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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