Logo of Huzzle

Data Architect

image

Virtusa

9d ago

  • Job
    Full-time
    Senior & Expert Level
  • Data
    Sustainability
  • Jersey City

AI generated summary

  • You have strong cloud experience (AWS, Azure), data engineering skills, and sustainability analytics expertise. Proficient in ETL, cloud databases, advanced analytics tools, and ML for climate insights.
  • You will design and manage cloud solutions for sustainability analytics, develop ETL pipelines, analyze data, create visual dashboards, build predictive models, and track ESG performance initiatives.

Requirements

  • We are seeking a highly skilled and experienced Senior Cloud Architect & Sustainability Data Engineer with a strong background in cloud computing (AWS, Azure), data engineering, and sustainability analytics.
  • Strong background in cloud computing (AWS, Azure), data engineering, and sustainability analytics.
  • Experience in cloud-based sustainability analytics platforms.
  • Capability to architect highly available, scalable, and secure cloud solutions for ESG reporting, carbon accounting, and environmental impact analysis.
  • Experience in developing data lakes and warehouses to manage and process large-scale environmental and climate datasets.
  • Experience in implementing ETL pipelines using tools like Databricks, Spark, Airflow, and Data Factory for sustainability data ingestion and transformation.
  • Familiarity with cloud-native databases (Oracle, Redshift, Teradata, Cosmos, NoSQL) to store and analyze sustainability data.
  • Proficiency in advanced analytics tools such as Power BI, Qlik, Tableau, and GIS mapping to create visual dashboards for sustainability reporting.
  • Experience in utilizing machine learning models (TensorFlow, PyTorch, Dataiku, Gen AI) to develop predictive models for climate risk, carbon footprint reduction, and energy efficiency optimization.
  • Ability to build interactive ESG performance scorecards to track corporate sustainability initiatives.
  • Knowledge of AI/ML methodologies (NLP, ML/Ops) to extract insights from unstructured environmental data sources.

Responsibilities

  • Design, implement, and manage cloud-based sustainability analytics platforms on AWS and Azure.
  • Architect highly available, scalable, and secure cloud solutions for ESG reporting, carbon accounting, and environmental impact analysis.
  • Develop data lakes and warehouses to manage and process large-scale environmental and climate datasets.
  • Implement ETL pipelines using tools like Databricks, Spark, Airflow, and Data Factory for sustainability data ingestion and transformation.
  • Work with cloud-native databases (Oracle, Redshift, Teradata, Cosmos, NoSQL) to store and analyze sustainability data.
  • Leverage advanced analytics tools such as Power BI, Qlik, Tableau, and GIS mapping to create visual dashboards for sustainability reporting.
  • Utilize machine learning models (TensorFlow, PyTorch, Dataiku, Gen AI) to develop predictive models for climate risk, carbon footprint reduction, and energy efficiency optimization.
  • Build interactive ESG performance scorecards to track corporate sustainability initiatives.
  • Apply AI/ML methodologies (NLP, ML/Ops) to extract insights from unstructured environmental data sources.

FAQs

What is the primary focus of the Senior Cloud Architect & Sustainability Data Engineer role?

The primary focus of this role is to blend expertise in cloud computing and data engineering with environmental sustainability to develop scalable and secure cloud-based sustainability solutions.

Which cloud platforms will I be working with in this position?

You will be working primarily with AWS and Azure.

What are the key responsibilities of this role?

Key responsibilities include designing and managing cloud-based sustainability analytics platforms, developing data lakes, implementing ETL pipelines, and creating visual dashboards for sustainability reporting.

What tools and technologies are required for this position?

Required tools and technologies include Databricks, Spark, Airflow, Data Factory, cloud-native databases (like Oracle, Redshift, and Cosmos), and advanced analytics tools such as Power BI, Qlik, and Tableau.

Will I be involved in machine learning or AI tasks?

Yes, you will leverage machine learning models and AI methodologies to develop predictive models and extract insights from unstructured environmental data sources.

How does Virtusa support employee development?

Virtusa values professional and personal development, offering exciting projects and opportunities to work with state-of-the-art technologies throughout your career.

What is Virtusa's stance on diversity and inclusion?

Virtusa is committed to equal opportunity for all and does not discriminate based on race, religion, gender, age, or any other protected status.

Is experience in ESG reporting important for this position?

Yes, experience in ESG reporting is important, as the role involves architecting solutions for ESG data management and reporting.

What analytical skills are required for this job?

Strong analytical skills are necessary for sustainability analytics, including the ability to create visual dashboards and apply advanced analytics tools for reporting.

Are there opportunities for collaborative work in this role?

Yes, Virtusa emphasizes teamwork and collaboration, providing a dynamic environment to nurture new ideas and foster excellence.

Business transformation that lasts starts with Engineering First.

Technology
Industry
10,001+
Employees
1996
Founded Year

Mission & Purpose

Virtusa Corporation provides digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach ensures we can execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results. We combine logic, creativity and curiosity to build, solve, and create. Every day, we help clients engage with new technology paradigms, creatively building solutions that solve their most pressing business challenges and move them to the forefront of their industry.