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Engaged Employer

Navikenz India

Compare

3.2

based on 23 Reviews

19 Navikenz India Jobs

Data & AI Architect

NAVIKENZ INDIA PRIVATE LIMITED

3.2

based on 23 Reviews

13-16 years

Noida

1 vacancy

Data & AI Architect

Navikenz India

posted 4mon ago

Job Role Insights

Flexible timing

Key skills for the job

Python Computer Networking SQL Automation Testing Machine Learning Clinical Data Management

+ 4 more

Job Description

The person will bring a good level of experience and expertise in development of technology solutions using future-ready, scalable technology architecture over cloud technologies and services. The person will be experienced in use of cloud infrastructure, cloud services, microservices and data management techniques to develop high performance solutions required for present and emerging business needs. The person will bring proven experience in delivering similar solutions including integration with enterprise solutions through APIs and will be experienced in using Machine Learning techniques to identify relevant patterns and possibilities.

PREVIOUS EXPERIENCE:

At least 15 years in the IT Industry with at least 3 years in the role of a Technical / Solution Architect including working in US along with customers and delivering services through globally distributed teams.

TECHNOLOGY SKILLS (MUST HAVE):

Deeper understanding of modern technologies including Cloud-native, APIs, AI and ML
Technically leads proof of concepts to ensure feasibility of architecture solutions
Hands-on with solutioning on multiple technologies mentioned below
Experience in multiple areas of data, AI and automation strategy and solutioning for enterprises
Experience in Data Platform and Enterprise Data Warehouse technologies
Data lakes and data warehouse architectures, designs, implementations, and hybrid data architectures on GCP ( must ), AWS or Azure ( optional )
Handling structured and unstructured data from many sources and deep knowledge about batch and streaming data processing methods
Solid understanding of data virtualization, data catalogues, metadata management, data ingestion, data visualization, data governance, security and data quality management frameworks, tools, and evolving technology landscape.
Deep experience in implementing enterprise data lake or data warehouse modernization programs.
Good experience in working with Hadoop and big data technologies like Spark, HDFS, Pig, Hive, Storm, HBase, Teradata, Tableau, Google BigQuery, Dataproc, Looker, AI Platform, AutoML
Extensive hands on experience with Googles services such as Dataflow, Cloud Composer, Cloud Datafusion, Cloud Pub/Sub, Data Catalog, Data Studio, Document AI or similar services from AWS or Azure
Experience with building data pipelines in streaming and batch mode
Experience with building software code in one or more languages such as Java, Python and SQL
Deep understanding and working experience on advanced analytics, AI algorithms and Machine Learning techniques
Experience in development using message queues, stream processing, highly available and fault tolerant techniques
Experience in Cloud based platform APIs
Knowledge of Container solutions like Docker and Kubernetes for managing the configuration of your deployed workloads is encouraged.
Knowledge of the current state of infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models
Solid knowledge on solutioning with Non-Functional-Requirements.

KEY RESPONSIBILITIES AT WORK:

As an architect specialising in the Data Analytics, Data Science domain the person will build technical relationships across the organisation and operate as a trusted advisor, ensuring most value from the cloud at every stage of the customer s journey in adopting DA, AI and process automation solutions

The person must:

Manage the overall technical relationship, for DA, AI and automation related projects, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate projects.
Bring in creativity that will link technology to tangible solutions, with the opportunity to define or invent cloud-native DA, AI and service oriented monolithic reference architectures for a variety of use cases.
Participate in the creation and sharing of best practices, technical content and new reference architectures
Oversee the technologies and options for deploying, inferencing, and monitoring DA AI models online at scale, along with the associated patterns and standards.
Diving deep hands-on, on a needed basis is a key responsibility from the role
Work with data scientists and engineering to develop architectures which improve the speed of iteration and experimentation of DA features in production, while also improving overall AI and data product awareness and appreciation.
Assist in ensuring the smooth delivery of products, solutions and initiatives that empower the organisation to obtain greater value from its investments.

SOFT SKILLS (MUST HAVE):

Customer centricity
Excellent oral and written communication
Work collaboratively with multi-cultural teams distributed across geographies and time-zones
Strong willingness to learn new technology and domain specifics
Experience and continued willingness to work in collaborative environment.
Self driven and results oriented.