Principal Consultant - Data&AI
Job Description
- Responsibilities
- AI-First Delivery Leadership
- Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable.
- Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes.
- Drive engineering excellence through reusable components, accelerators, and scalable architecture.
- Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements.
- Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches.
- Act as a technical point of contact for clients, translating business requirements into scalable technical solutions.
- Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes.
- Engineering Excellence
- Champion high-quality engineering practices across all delivery engagements.
- Ensure adherence to coding standards, architectural integrity, and performance benchmarks.
- Promote secure coding, test-driven development, and observability as default practices.
- Encourage continuous learning and technical certifications to maintain cutting-edge expertise.
- Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions.
- Foster a culture of technical rigor, innovation, and accountability within the team.
- Innovation & Thought Leadership
- Monitor and evaluate emerging technologies to inform strategic direction.
- Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact.
- Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement.
- Client Engagement & Solutioning
- Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle.
- Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals.
- Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery.
- Team Management & Mentorship
- Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence.
- Conduct reviews, provide feedback, and support professional development of team members.
- Quality & Compliance
- Ensure all deliverables meet quality standards, security, and regulatory requirements.
- Promote secure coding, test-driven development, and observability as default practices.
- Strategic Partnering
- Serve as a strategic partner for internal and external stakeholders on key initiatives.
- Provide strategic guidance and execution oversight to ensure alignment with organizational goals.
Job Details
Experience :
0 To 5
Number Of
Vacancies :
10
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
6 Lac - 10 Lac
P.A
Education Summary
UG :
BE/B.Tech
PG :
Any PG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
8066587000
e-mailId :
careers@microsoft.com
Address :
Microsoft Signature Building,
Embassy Golf Links Business Park,
Domlur, Bengaluru,
Karnataka.
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaPrincipal Consultant - Data&AI
Experience -
0 to 5
Principal consultant Data Engineer
Experience -
0 to 3
Key Skills -
airflow,
data pipelines,
sagemaker,
snowflake,
step functions,
ml studio,
teradata,
machine learning,
elk,
kafka,
tableau,
elt,
docker,
python,
aws,
java,
bigquery,
hadoop,
apis,
scala,
big data,
redshift,
sql,
deep learning,
jenkins,
hive,
gcp,
powerbi,
ansible,
spark,
azure,
kubernetes,
etl.,
Lead consultant-Data Engineer
Experience -
0 to 3
Key Skills -
python,
java,
scala,
sql,
hadoop,
spark,
hive,
kafka,
redshift,
snowflake,
bigquery,
teradata,
docker,
kubernetes,
airflow,
step functions,
ctrl m,
ansible,
jenkins,
elk,
aws,
azure,
gcp,
sagemaker,
ml studio,
powerbi,
tableau,
machine learning,
deep learning,
data engineering,
cloud computing,
microservices.
,