- Databricks BI / AI BI Genie Specialist (AWS Cloud)
Position: Senior Data & BI Engineer
Location: [Hybrid]
Experience: 6-10 years
Domain: Data Engineering, Business Intelligence, Cloud Analytics
Role Overview
We are seeking a highly skilled
Databricks BI Specialist
with expertise in
AI BI Genie (or similar BI/AI-driven visualization tools)
to design, develop, and optimize
business intelligence solutions on AWS cloud
. The role requires strong
data modeling, performance tuning, and architectural knowledge of data engineering pipelines
to deliver scalable and insightful analytics for business stakeholders.
Key Responsibilities
BI & Analytics Delivery
Develop and manage
BI dashboards and AI-driven insights
using Databricks AI BI Genie (or equivalent BI/ML-powered analytics tools).
Translate
business requirements
into technical BI solutions with strong storytelling and visualization.
Design and optimize
semantic layers, data marts, and curated datasets
for BI consumption.
Enable
self-service BI & AI-driven insights
for business users.
Data Engineering & Modeling
Collaborate with data engineers to design
scalable data pipelines
in Databricks on AWS.
Define and implement
star schema, snowflake, and data vault models
for analytical workloads.
Ensure
data consistency, lineage, and governance
via Unity Catalog (or equivalent metadata framework).
Optimize
query performance, indexing, caching, and compute resource allocation
for BI workloads.
Cloud & Architecture
Design BI solutions aligned with
AWS cloud architecture
(S3, Redshift, Glue, EMR, Athena, etc.).
Work closely with
data architects
to ensure scalability, reliability, and performance of BI systems.
Ensure compliance with
data security, privacy, and governance
standards.
Collaboration & Leadership
Partner with Product Owners, Data Architects, and Business Analysts to define BI roadmap.
Guide junior engineers in
data modeling and BI development best practices
.
Contribute to
performance benchmarking and architectural reviews
for BI workloads.
Required Skills & Experience
6-10 years of experience in
BI & Data Engineering
on cloud platforms.
Strong expertise in
Databricks
(Delta Lake, SQL, PySpark) and
BI tools
(Databricks Genie, Tableau, Power BI, or Looker).
Solid understanding of
AWS cloud services
(S3, Redshift, Glue, Lambda, Athena, EMR).
Advanced knowledge of
data modeling techniques
(star schema, snowflake, normalized, data vault).
Strong
SQL optimization and performance tuning
experience.
Experience with
architectural concepts
in large-scale data platforms (batch + streaming).
Familiarity with
ML/AI-based BI features
(e.g., AI-driven insights, automated narrative generation).
Excellent communication and stakeholder management skills.
Nice to Have
Experience with
Unity Catalog
or similar governance frameworks.
Exposure to
AI/ML model integration with BI tools
.
Knowledge of
DevOps & CI/CD for BI pipelines
(Terraform, GitHub Actions, Jenkins).
Background in
financial services, retail, or healthcare analytics
(domain-specific BI).
Education
Bachelor's or Master's in
Computer Science, Data Engineering, Information Systems, or related field
.
Relevant certifications in
AWS, Databricks, or BI tools
are a plus.
EXPERIENCE
4.5-6 Years
SKILLS
Primary Skill: BI & Visualization Development
Sub Skill(s): BI & Visualization Development
Additional Skill(s): AWS - CloudFormation, Power BI, AI/ML Development, BI & Visualization Development, databricks, CI/CD
ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krakow, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
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