Databricks Architect

A Bachelor’s or Higher Degree is the minimum entry required for the position.

About the Role and Job
Job Title :
Databricks Architect

Location :
Toronto, ON

Model :
Hybrid (4 Days onsite / Week)

Job Type :
Full time / Contract

This job posting is for an existing, active vacancy and we are looking to hire highly experienced Databricks Architect to design, migrate, and optimize large-scale data platforms on Databricks. This is a senior-level role requiring strong architectural ownership, hands‑on experience with Databricks migrations, and deep expertise in modern data engineering ecosystems.

The ideal candidate has prior experience in data architecture roles before Databricks and has successfully transitioned data platforms into the Databricks environment while ensuring scalability, performance, and cost efficiency.

Key Responsibilities

Design and lead end-to-end data architecture solutions using Databricks

Own and execute data migration strategies into Databricks from legacy or cloud data platforms

Architect scalable Lakehouse solutions using Delta Lake, Spark, and cloud-native services

Define best practices for data modeling, ingestion, processing, and governance

Collaborate with data engineers, analytics teams, and stakeholders to translate business requirements into technical designs

Optimize performance, reliability, and cost of Databricks workloads

Ensure data security, compliance, and access controls within Databricks environments

Review and guide implementation through design reviews and technical governance

Required Skills & Experience

Several years of experience as a Data Architect / Databricks Architect

Strong hands‑on experience with Databricks (Spark, Delta Lake, Lakehouse architecture)

Proven track record of migrating data platforms into Databricks

Solid background in data engineering prior to Databricks adoption

Deep understanding of distributed systems and big data architectures

Experience with cloud platforms (AWS / Azure / GCP)

Strong expertise in ETL/ELT pipelines, data modeling, and performance tuning

Excellent problem‑solving and stakeholder communication skills

Good to Have

Databricks Certifications (Architect / Data Engineer / Professional level)

Experience with governance tools (Unity Catalog, data lineage, metadata management)

Exposure to streaming frameworks and real-time data processing

Salary / Rate
Fulltime:  The pay range for this role is CA $135,000 - CA $155,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

Contract:

CA $80 per hour to CA $90 per hour.

AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations.

Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_A m.

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