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Lead Data Engineer (Snowflake/Databricks)

A trusted consultant using Cloud technology to deliver customer engagement and business effectiveness solutions for Financial, Retail, High Tech, Healthcare verticals.
Data
Staff Software Engineer
In-Person
7+ years of experience
Enterprise SaaS · Finance · Healthcare...

Description For Lead Data Engineer (Snowflake/Databricks)

Accellor is seeking a Lead Data Engineer specializing in Snowflake and Databricks to join their team in Hyderabad, India. As a trusted consultant in Cloud technology, Accellor serves various sectors including Financial, Retail, High Tech, and Healthcare verticals. The role requires 7-10 years of experience and combines technical expertise with leadership responsibilities.

The position involves designing and implementing data engineering solutions using modern cloud platforms, with a focus on the complete data lifecycle from ingestion to transformation and modeling. The ideal candidate will have strong expertise in Snowflake/Databricks, programming languages like Python/Java, and cloud platforms (AWS/Azure/GCP).

The role offers an excellent opportunity to work with global brands while maintaining work-life balance through flexible schedules and remote work options. Accellor provides a collaborative environment that encourages continuous learning and professional growth, supported by comprehensive benefits including medical insurance, performance bonuses, and professional development programs.

Key responsibilities include creating high-level architectural designs, leading technical solutions, and working closely with client teams to understand and address their business needs. The company culture promotes curiosity, constant learning, and autonomy, making it an ideal environment for a data engineering leader who wants to make a significant impact while growing professionally.

Last updated 24 days ago

Responsibilities For Lead Data Engineer (Snowflake/Databricks)

  • Design, develop, and deliver data engineering solutions using modern cloud data platforms
  • Create high-level design and architecture solutions including class, sequence and deployment infrastructure diagrams
  • Take ownership of technical solutions from design and architecture perspective
  • Gather end user requirements and write technical documentation
  • Suggest innovative solutions based on new technologies and latest trends
  • Review architectural/technological solutions for ongoing projects
  • Work closely with client teams to understand business needs and propose solutions

Requirements For Lead Data Engineer (Snowflake/Databricks)

Python
Java
  • 7-10 years of experience working with Snowflake/Databricks in data engineering or architecture role
  • Familiarity with programming languages such as Python, Java, or Scala
  • Strong expertise in SQL, data modeling and advanced query optimization techniques
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)
  • Proficiency in ETL/ELT tools such as ADF, Fabric
  • Experience with data visualization tools like Tableau, Power BI, or Looker
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Ability to work in a fast-paced, dynamic environment
  • Databricks certification is an added advantage

Benefits For Lead Data Engineer (Snowflake/Databricks)

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Exciting Projects with global brands
  • Collaborative Environment
  • Flexible work schedules
  • Work from home opportunities
  • Paid time off and holidays
  • Professional Development and training programs
  • Competitive salaries
  • Family medical insurance
  • Personal Accident Insurance
  • Periodic health awareness program
  • Extended maternity leave
  • Annual performance bonuses
  • Referral bonuses

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