Lead Consultant - Databricks Data Engineering

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Lead Consultant - Databricks Data Engineering Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Required Skills (Must Have) - Hands-on experience with Databricks (notebooks, clusters, jobs, Delta Lake). - Strong understanding of ETL/ELT processes . - Experience with Python or SQL . - Good understanding of cloud platforms (Azure, AWS, or GCP). - Knowledge of Delta Lake features (ACID transactions, time travel, schema evolution). - Familiarity with data warehousing concepts . - Ability to work with large datasets and optimize performance. - Strong debugging and problem‑solving skills. Preferred Skills (Good to Have) - Experience with streaming systems (Auto Loader, Structured Streaming). - Knowledge of CI/CD workflows (Git, DevOps pipelines). - Experience with orchestration tools (Azure Data Factory, n8n, etc.). - Understanding of lakehouse architecture. - Exposure to ML workflows or MLOps. Qualifications - 2-6 years of experience in data engineering or analytics. - Certifications in Databricks, Azure, AWS, or

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