Cloud Data Architect

Posted 9 Days Ago
Jersey City, NJ
Expert/Leader
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
The Cloud Data Architect will mentor and support data engineers, review work to implement best practices, manage production processes for data ingestion and transformation, and engage with clients to provide architectural solutions. Responsibilities include designing scalable data frameworks, enhancing security and resiliency, and leveraging cloud technologies for data management.
Summary Generated by Built In

Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

  • Mentorship and solution support to client-facing Data Engineers across key accounts
    • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction
    • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale.
    • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points.
    • Coordinate between onsite and offshore leadership for regular updates
  • Engage key client stakeholders to
    • Review and provide the best solutions on the existing or new architecture requirements.
    • Recommend strategies to improve resiliency, security, and optimize costs.
    • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions.
    • Design and develop scalable data ingestion frameworks to transform a variety of datasets, capture metadata, lineage and implement data quality
Requirements
  • Bachelor’s degree in Computer Science/or any relevant experience in Information systems.
  • 10 years of experience in the IT field with hands-on experience in system administration and automation
  • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud.
  • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud
  • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala).
  • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery)
  • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc.
  • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other
  • Knowledge of delta lake or similar technology
  • Exposure to operationalizing ML models @ scale on Cloud
  • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud
  • Must understand the Scrum Agile methodology and have worked on a Scrum team.
  • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores
  • Good experience working on an onsite/offshore model
  • Knowledge of networking, firewalls, load balancers, etc.
  • AWS Professional Architect Certification is preferred
  • Exceptional communication skills and the ability to communicate appropriately with executives and technical teams.
Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Top Skills

Java
Python
Scala
The Company
Bengaluru, Bengaluru
5,000 Employees
On-site Workplace
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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