Data Analytics Lead
12 hours ago
Job Description – Data Analytics Lead (Snowflake & Databricks)
Position:
Data Analytics Lead
Location:
Noida / Gurgaon
Experience:
10+ Years
About the Role
We are seeking a dynamic and experienced
Data Analytics Lead
with deep expertise in
Snowflake
and
Databricks
to lead enterprise-scale data engineering and analytics initiatives. This role combines strategic vision with technical execution, playing a critical part in shaping and delivering our organization's data architecture, pipelines, and analytics capabilities.
You will work closely with cross-functional teams including product managers, engineers, and business stakeholders to transform data into valuable insights. The ideal candidate is a thought leader with a passion for innovation in data and analytics, experienced in modern cloud data platforms and leading high-performing teams.
Key Responsibilities
- Lead the
design, development, and deployment
of scalable data pipelines and analytics solutions using
Snowflake
and
Databricks
. - Define and enforce
data architecture standards
, governance policies, and best practices across analytics initiatives. - Collaborate with business, engineering, and product teams to translate data requirements into robust, technical solutions.
- Build and manage
ETL/ELT workflows
, integrating data from multiple sources into Snowflake. - Design and optimize
data models
for reporting, dashboarding, and advanced analytics use cases. - Utilize Databricks for
data transformation
,
machine learning integration
, and
real-time analytics
. - Lead and mentor a team of
data engineers
and
data analysts
, ensuring project delivery and technical excellence. - Ensure
data security
,
regulatory compliance
, and
cost efficiency
in a cloud-based data environment. - Evaluate and implement emerging tools, frameworks, and technologies in the data analytics ecosystem.
Required Skills & Experience
- 10+ years
of experience in Data Engineering, Data Analytics, or related fields, with
3+ years in a leadership or architect role
. - Strong expertise in
Snowflake
(including Snowpark, performance tuning, security, data sharing). - Hands-on experience with
Databricks
(PySpark, Delta Lake, Databricks SQL, ML workflows). - Proficiency in
SQL
,
Python
, and
Apache Spark
. - Deep understanding of
data modeling
,
ETL/ELT processes
, and
data lakehouse architecture
. - Experience with cloud platforms such as
AWS
,
Azure
, or
GCP
. - Exposure to
modern data stack tools
and
BI platforms
like Tableau, Power BI, or Looker (nice to have). - Excellent
leadership
,
project management
, and
communication
skills with a stakeholder-focused mindset.
Education & Certifications
- Bachelor's or Master's degree in
Computer Science
,
Data Engineering
,
Information Technology
, or related field. - Certifications in Snowflake and/or Databricks
are highly preferred. - Agile/Scrum certification
is a plus.
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