Senior Data Architect

We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake database and Verint Workforce Management (WFM) feeds and delivers it through a Bronze/Silver/Gold (Medallion) architecture on Databricks into a Kimball-style reporting layer.

You will own the architecture: ingestion strategy and cadence per source incremental loading and batch control data integrity standards and the Gold-layer dimensional model. You will also partner with the existing CCARS pipeline team through parallel run and decommissioning of the legacy pipelines.

This role suits a hands-on Senior or Lead Data Architect who can turn complex reporting requirements into robust auditable data solutions and explain architectural trade-offs to both engineers and business stakeholders.

Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office.

Responsibilities:

• Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources with clear standards for ingestion transformation validation and consumption.
• Experience with contact center migrations; Genesys Cloud experience is a big plus.
• Define ingestion cadence and watermarking strategy per source based on each sources true data freshness.
• Design the Gold-layer Kimball star schema (facts dimensions grain SCD Type I/II) to support sales telephony agent activity and quality reporting.
• Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns based on source characteristics volumes and performance needs.
• Build and optimize Databricks and Delta Lake pipelines and set cost and performance practices for cluster sizing job versus all-purpose compute and Photon.
• Design ingestion from the external Genesys Snowflake source including secure connectivity incremental extraction and source-to-target reconciliation.
• Integrate Verint and other vendor feeds delivered as flat files SFTP drops or REST APIs normalizing inconsistent formats and tolerating schema drift.
• Design API ingestion that handles pagination rate limits asynchronous submit-poll-retrieve jobs and per-entity fan-out at scale.
• Define data integrity checks batch control idempotency and failure-recovery patterns for each pipeline including row-count and checksum reconciliation and late-arriving data handling.
• Design orchestration with Azure Data Factory Databricks Workflows or equivalent with independent batch tracking and failure isolation per source feed.
• Write and review production-grade transformation logic in T-SQL Spark SQL and Python/PySpark.
• Document architecture decisions and trade-offs for engineering and business audiences.
• Partner with the existing CCARS pipeline team on parallel-run validation cutover planning and legacy pipeline decommissioning.

Qualifications :

• 10 years of designing data warehouse and lakehouse solutions.
• 5 years of hands-on experience with Databricks/Delta Lake and Snowflake or API-driven ingestion.
• Deep hands-on dimensional modeling expertise: Kimball star schema fact and dimension design grain definition SCD Type I/II.
• Proven experience designing Medallion (Bronze/Silver/Gold) architectures including the trade-offs between pure lakehouse and hybrid lakehouse-to-DW designs.
• Strong Delta Lake expertise: Delta tables ACID transactions Z-ordering OPTIMIZE/VACUUM and Databricks workload tuning at scale.
• Expert-level T-SQL and Spark SQL including complex joins window functions query tuning indexing and partitioning.
• Deep knowledge of relational databases (SQL Server preferred) and of OLTP versus OLAP design.
• Track record enforcing data integrity across pipeline boundaries: referential integrity deduplication reconciliation checksum/hash validation and detecting upstream schema drift.
• Experience consuming REST APIs at scale including pagination rate limiting async job patterns and endpoint-specific freshness.
• Experience ingesting from external Snowflake sources and non-standardized vendor exports (flat files SFTP vendor APIs).
• Experience designing high-volume pipelines (millions of records per day hourly-to-real-time) with backpressure retry and failure isolation.
• Experience with orchestration tools such as Azure Data Factory or Databricks Workflows.
• Proficiency in Python or PySpark and familiarity with Azure (Databricks ADF SQL Managed Instance Key Vault).
• Strong communication skills for documenting decisions and explaining trade-offs to technical and business audiences.

Nice to have:

• Prior experience with Genesys Cloud Genesys A3S or Verint data models.
• Contact centre or telephony domain knowledge: call detail records agent activity quality evaluations IVR and routing.
• Experience running parallel-run migration strategies with legacy and new systems live simultaneously during cutover.
• Experience with enterprise schedulers such as AutoSys is a plus.

Additional Information :

We offer:

• Culture of Relentless Performance:  join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
• Competitive Pay and Benefits:  enjoy a comprehensive compensation and benefits package including health insurance and a relocation program.
• Work From Anywhere Culture:  make the most of the flexibility that comes with remote work.
• Growth Mindset : reap the benefits of a range of professional development opportunities including certification programs mentorship and talent investment programs internal mobility and internship opportunities.
• Global Impact:  collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming Multicultural Environment:  be a part of a dynamic global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
• Social Sustainability Values:  join our sustainable business practices focused on five pillars including IT education community empowerment fair operating practices environmental sustainability and gender equality.

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race color religion sex national origin age disability veteran status sexual orientation gender identity or any other protected status under applicable law.

Remote Work :

No

Employment Type :

Full-time