Antal International Looking for Sr Solution Architect – Big data / Data Analytic at Mumbai, Maharashtra Full Time

Roles and Responsibilities

Build, lead and grow a cross-functional team of various engineering fields to deliver Bigdata/data Analytic / AI / ML-powered applications.

Be responsible for the solution architect of BigData/data Analytic project using agile methodology.

Understand and break down client problems, bringing an understanding of leading technology, analytics methods, tools, and operating model approaches

Conduct research to provide technical solutions at scale for real-world challenges in various scenarios

Help business stakeholders understand the potential and limitations of AI / ML when planning new products

Work closely with product counterpart, taking accountability to deliver on the product strategy.

Helps team make appropriate trade-offs based on quality, scalability, performance, and cost aligned with the team’s tech strategy.

Continuously evaluate relevant technologies, and influence architecture and design discussion.

Work closely with the engineers to architect and develop the best technical design and approach.

Report on the status of development, quality, operations, and system performance to management.

Hold the team to a high standard of code quality, unit testing, architecture, tech debt management, code security, etc

Desired Candidate Profile

Bachelor’s in an engineering or business discipline is a must.

10+ years of experience in developing, hosting, and maintaining large-scale distributed applications.

5+ years of experience in creating AI-enabled application solutions

3+ years in a people management role.

Having experience in building and managing a Big Data analytics / AI engineering team is a must.

Demonstrated experience in working on AI technologies e.g.: NLP, Virtual Agent, Conversational AI, NLU, NLG, forecasting, prediction, etc.

Working experience with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, HVR, Talend, Hadoop, Hive, Spark, etc.

Hands-on experience in data analytics solutions using either AWS / Azure services: CloudFormation, Lake Formation, DMS, Kinesis, Kafka, CDC processing Redshift, RDS, Docker, Lambda, AI/ML, Azure data factory

Knowledge of machine learning techniques clustering, decision tree learning, artificial neural networks, etc and their real-world advantages/drawbacks -Knowledge of advanced statistical techniques and concepts regression, properties of distributions, statistical tests, and proper usage, etc and experience with applications

Knowledge of statistical computer languages R, Python, SLQ, etc to manipulate data and draw insights from large data sets

Key behavioral attributes

Proactive and highly organized, with strong time management and planning skills

Able to meet tight deadlines and remain calm under pressure

Experience working with key stakeholders at senior levels. Demonstrable relationships with IT vendors are a plus.

Strong Leadership, professional attitude – and leading by example

Passionate about IT and a good understanding of emerging IT technologies are important

Ability to multi-task and stay organized in a dynamic work environment

Analytical and inquisitive, with excellent attention to detail

Credible, confident, and articulate, with excellent communication and presentation skills and the

gravitas to deliver ideas clearly and concisely to internal and external stakeholders

Personable and approachable, with an enthusiastic and motivational nature and an overall

passion for excellence