Databricks Implementation Lead

2 days ago

Hyderabad, Telangana, India Rubis Software Solutions Pvt Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year
  • Experience needed:
    years
  • Type:
     Full-Time
  • Mode:
     WFO
  • Shift:
    IST
  • Location:
     Hyderabad, India
  • Notice Period:
     Immediate to 15 days

About the Role

We are seeking an experienced
Databricks Implementation Lead
 to spearhead end-to-end delivery of a large-scale 
data engineering and analytics project
 built on the 
Databricks Lakehouse platform
.

The ideal candidate will have deep expertise in 
data architecture
, hands-on experience with 
Databricks (SQL, PySpark, Delta Lake, MLflow)
, and the ability to lead teams through 
solution design, migration, optimization, and production rollout
.

Key Responsibilities

1. Project Leadership

  • Own the complete 
    Databricks implementation lifecycle
     from requirement gathering, architecture design, and environment setup to production deployment and handover.
  • Act as the primary 
    technical liaison
     between business stakeholders, data engineering teams, and cloud platform teams.
  • Ensure alignment with project goals, timelines, and compliance standards (
    data governance, security, cost optimization
    ).

2. Architecture & Design

  • Design scalable and secure 
    data pipelines
     leveraging 
    Databricks, Delta Lake
    , and 
    cloud-native services (Azure, AWS, or GCP)
    .
  • Define the 
    data ingestion, transformation, and consumption architecture
    , integrating multiple data sources (APIs, databases, files, streaming).
  • Establish 
    CI/CD pipelines
     for Databricks notebooks and jobs, enabling automation and version control (using Git / Azure DevOps).

3. Technical Implementation

  • Lead and mentor a team of 
    data engineers
     to develop 
    ETL/ELT pipelines
     using 
    PySpark, SQL, and Databricks workflows
    .
  • Configure clusters, jobs, and 
    Lakehouse storage
     following best practices.
  • Optimize 
    Databricks compute and query performance
     for cost and efficiency.
  • Implement 
    data quality frameworks, monitoring dashboards, and error-handling logic
    .

4. Governance & Operations

  • Set up 
    access control, role-based security, and data lineage tracking
     in 
    Unity Catalog
    .
  • Collaborate with the 
    CloudOps team
     for environment setup, monitoring, and cost governance.
  • Drive 
    documentation, training, and knowledge transfer
     to ensure sustainability and handover readiness.

Required Skills & Experience

  • 8+ years of experience in 
    data engineering or big data projects
    .
  • 3+ years of 
    hands-on Databricks experience
     (SQL, PySpark, Delta Lake, MLflow).
  • Strong experience with 
    ETL/ELT pipeline design
    , 
    data modeling
    , and 
    data warehousing
    .
  • Experience with 
    Azure Data Factory, AWS Glue
    , or similar orchestration tools.
  • Proficiency in 
    Python, SQL
    , and 
    Spark optimization techniques
    .
  • Experience implementing 
    DevOps practices (CI/CD, Git, Databricks Repos)
    .
  • Familiarity with 
    data governance frameworks, Unity Catalog, and RBAC
    .
  • Proven track record in 
    leading multi-member implementation teams
    .

Preferred Qualifications

  • Databricks Certified Data Engineer Professional
     or 
    Solution Architect certification
    .
  • Experience with 
    AI/ML workflows
     and model management using 
    MLflow
    .
  • Exposure to 
    Power BI, Tableau, or Looker
     for downstream visualization.
  • Strong communication skills and experience in 
    client-facing roles
    .

Soft Skills

  • Excellent 
    problem-solving and analytical skills
    .
  • Strong 
    leadership and mentoring
     capabilities.
  • Ability to work in a 
    fast-paced, cross-functional environment
    .
  • Clear 
    documentation and presentation
     skills.

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