About
Kanerika
Who
we are:
Kanerika
Inc. is a premier global software products and services firm that specializes
in providing innovative solutions and services for data-driven enterprises. Our
focus is to empower businesses to achieve their digital transformation goals
and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data
analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to
deliver custom solutions that help organizations optimize their operations,
enhance customer experiences, and drive growth.
Awards and Recognitions
Kanerika has won several awards over the years,
including:
· CMMI
Level 3 Appraised in 2024.
· Best
Place to Work 2023 by Great Place to Work
· Top
10 Most Recommended RPA Start-Ups in 2022 by RPA today.
· Frost
& Sullivan India 2021 Technology Innovation Award for its Kompass composable
solution architecture.
· Kanerika
has also been recognized for its commitment to customer privacy and data
security, having achieved, ISO 9001, ISO 27701, SOC2, and GDPR compliances.
Working
for us
Kanerika
is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our
employees' growth, well-being, and diversity, and people’s experiences bear
this out. At Kanerika, we offer a host of enticing benefits that create an
environment where you can thrive both personally and professionally. From our
inclusive hiring practices and mandatory training on creating a safe work
environment to our flexible working hours and generous parental leave, we
prioritize the well-being and success of our employees. Our commitment to
professional development is evident through our mentorship programs, job
training initiatives, and support for professional certifications.
Additionally, our company-sponsored outings and various time-off benefits
ensure a healthy work-life balance. Join us at Kanerika and become part of a
vibrant and diverse community where your talents are recognized, your growth is
nurtured, and your contributions make a real impact. See the benefits section
below for the perks you’ll get while working for Kanerika.
Locations
We
are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad
(India).
Job
Location: Hyderabad, Indore and Ahmedabad (India)
Requirements
Role:
Kanerika
is building out a dedicated Databricks delivery practice and is looking for a
Practice Lead / Architect to be the founding technical leader of this group.
This is a high-ownership, build-from-scratch role: you will define delivery
standards, lead solution architecture for client engagements, support pre-sales
and proposal efforts, and mentor a growing team of engineers. You'll be the
senior-most technical voice for Databricks both internally and in front of
clients.
Key
Responsibilities
• Define and own the technical architecture,
standards, and best practices for Databricks-based solutions across client
engagements (data engineering, lakehouse, ML/AI workloads, and GenAI solutions
including RAG pipelines and LLM-based applications).
• Lead solution design for greenfield
implementations and migrations to Databricks, including Unity Catalog, Delta
Lake (including Change Data Feed, liquid clustering, and deletion vectors),
workflows, and governance models.
• Act as the primary technical lead in pre-sales:
scope client requirements, build estimates, design proposed architectures, and
present solutions in client-facing meetings and demos.
• Support RFP/RFI responses and SOW creation with
accurate technical scoping and effort estimation for Databricks engagements.
• Build and maintain reusable accelerators,
reference architectures, and delivery templates to speed up future client
engagements.
• Provide technical leadership and mentorship to the
delivery team, including code/architecture reviews and unblocking technical
challenges.
• Partner with practice leadership to define hiring
needs, skill development plans, and the long-term roadmap for the Databricks
practice.
• Stay current with the Databricks platform roadmap
(Unity Catalog, Lakeflow Declarative Pipelines (formerly Delta Live Tables) and
Lakeflow Connect for managed ingestion, MLflow, Databricks SQL) and proactively
bring new capabilities into client conversations.
• Serve as primary point of escalation for technical
risk and delivery quality across active engagements.
Required
Skills & Experience
· 8–14
years in data engineering/architecture roles, with at least 4 years of hands-on
Databricks and Apache Spark experience in production environments.
· Deep
expertise in PySpark/Spark SQL, Delta Lake, Unity Catalog, and Databricks
workflow orchestration.
· Hands-on
experience with Auto Loader and structured streaming pipelines in production
environments.
· Strong
experience designing lakehouse architectures, including ingestion,
transformation (ETL/ELT), and serving layers.
· Hands-on
experience with at least one major cloud platform (Azure, AWS, or GCP); Azure
Databricks experience strongly preferred.
· Cluster
design and performance tuning: instance pools, cluster policies, Adaptive Query
Execution, and data skew handling.
· Proven
experience in client-facing technical roles — solutioning, presenting
architectures, and responding to technical objections.
· Experience
with pre-sales activities: effort estimation, SOW/proposal input, and technical
demos.
· Strong
understanding of data governance and security on Databricks, including Unity
Catalog privilege model, row-level and column-level security, secrets
management, and audit logging.
· Excellent
communication skills, with the ability to translate technical concepts for both
engineering and business audiences.
· Prior
experience setting up or scaling a practice, center of excellence, or technical
team is a strong plus.
PEFFERED
/ NICE TO HAVE
· Databricks
certifications (e.g., Databricks Certified Data Engineer Professional,
Databricks Certified Solutions Architect).
· Experience
with MLflow (experiment tracking, model registry, model serving endpoints),
Lakeflow Declarative Pipelines and Lakeflow Connect for managed ingestion,
Databricks SQL and AI/BI Genie for analytics use cases, Databricks Vector
Search for RAG pipelines, and Mosaic AI for LLM fine-tuning and agent frameworks.
· Exposure
to consulting/IT services delivery models and multi-client engagement
management.
· Familiarity
with complementary tools in the modern data stack (dbt, Airflow, Fivetran,
Kafka, etc.).
What
Success Looks Like
· Within
3 months: Delivery standards, architecture templates, and a reference solution
are in place; actively supporting live pre-sales conversations.
· Within
6 months: First client engagement(s) delivered or in active delivery with the
practice's standards applied; hiring plan for the broader team is executing.
· Within
12 months: Kanerika is recognized by clients and prospects as having a
credible, mature Databricks delivery capability, with a repeatable
pre-sales-to-delivery motion.
Benefits
Why
join us?
· Work
with a passionate and innovative team in a fast-paced, growth-oriented
environment.
· Gain
hands-on experience in content marketing with exposure to real-world projects.
· Opportunity
to learn from experienced professionals and enhance your marketing skills.
· Contribute
to exciting initiatives and make an impact from day one.
· Competitive
stipend and potential for growth within the company.
· Recognized
for excellence in data and AI solutions with industry awards and accolades.
Employee Benefits:
1. Culture:
i. Open
Door Policy: Encourages open communication and accessibility to management.
ii. Open
Office Floor Plan: Fosters a collaborative and interactive work environment.
iii. Flexible
Working Hours: Allows employees to have flexibility in their work schedules.
iv. Employee
Referral Bonus: Rewards employees for referring qualified candidates.
v. Appraisal
Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
a. Hiring practices that promote diversity: Ensures a
diverse and inclusive workforce.
b. Mandatory POSH training: Promotes a safe and
respectful work environment.
3. Health Insurance and Wellness Benefits:
a. GMC and Term Insurance: Offers medical coverage
and financial protection.
b. Health Insurance: Provides coverage for medical
expenses.
c. Disability Insurance: Offers financial support in
case of disability.
4. Child Care & Parental Leave Benefits:
a. Company-sponsored family events: Creates
opportunities for employees and their families to bond.
b. Generous Parental Leave: Allows parents to take
time off after the birth or adoption of a child.
c. Family Medical Leave: Offers leave for employees
to take care of family members' medical needs.
5. Perks and Time-Off Benefits:
a. Company-sponsored outings: Organizes recreational
activities for employees.
b. Gratuity: Provides a monetary benefit as a token
of appreciation.
c. Provident Fund: Helps employees save for
retirement.
d. Generous PTO: Offers more than the industry
standard for paid time off.
e. Paid sick days: Allows employees to take paid time
off when they are unwell.
f. Paid
holidays: Gives employees paid time off for designated holidays.
g. Bereavement Leave: Provides time off for employees
to grieve the loss of a loved one.
6. Professional Development Benefits:
a. L&D with FLEX- Enterprise Learning Repository:
Provides access to a learning repository for professional development.
b. Mentorship Program: Offers guidance and support
from experienced professionals.
c. Job Training: Provides training to enhance
job-related skills.
d. Professional Certification Reimbursements: Assists
employees in obtaining professional certifications.
e. Promote from Within: Encourages internal growth
and advancement opportunities.