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Data Solutions Architect

Pay
Multiple pay statements — pay source
Compensation & Perks Competitive compensation package (CAD 170K-180K / year) Retirement Savings Matching Program (RRSP)
GreenShield+ Counselling Mental Health $500 in Health Care Spending Account annually Growth & Development
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time - OG
From the employer’s posting

What you’ll work on

Full posting

OpsGuru's value to our customers centres around our ability to provide deep technical guidance based on their business needs.

Within these teams, the Data Solutions Architect is responsible for providing technical expertise and leadership to Data Engineers, while also maintaining a systems view that is able to reconcile technical decisions with broader project goals.

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 23, 202611 days ago
Recorded sightings
13
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 11

Similar jobs usually come down between day 7 and day 53.

From 7,823 similar postings that came down. Coming down is not always a hire.

Carbon60 is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Databricks
  • DynamoDB
  • Elasticsearch
  • Kafka
  • MongoDB
  • MySQL
  • Neo4j
  • NoSQL
  • Oracle
  • Redis
  • S3
  • Snowflake
  • Spark
  • SQL Server
  • Tableau
  • PostgreSQL
Where the posting names them
Other Technical: - Developing code using Python, Java, and Scala languages - Architect and operationalize solutions following best practices including data governance, privacy, lifecycle management, and cost optimization
- 7+ years of experience in public cloud environments (AWS preferred). - 5+ years of developing code using Python, Java, or Scala languages - Experience building complex data engineering pipelines and ETL/ELT tasks
- Experience building complex data engineering pipelines and ETL/ELT tasks - Experience with relational databases (for example Oracle, SQL Server, MySQL, Postgres, MariaDB) or managed cloud RDBMS services (such as Amazon Aurora) - Experience with NoSQL databases such as MongoDB, Cassandra, CouchDB, ElasticSearch, Neo4j, DynamoDB, BigTable, etc.
Technical: - 7+ years of experience in public cloud environments (AWS preferred). - 5+ years of developing code using Python, Java, or Scala languages
- Complex ETL/ELT processes, large-scale batch and real-time stream processing solutions, and optimizing data and schemas - Data Lakes using native cloud tools or leveraging 3rd party platforms (for example Snowflake or Databricks) - AI-based solutions for NLP, speech and video recognition, anomaly and fraud detection, chatbots, etc.
- Experience with relational databases (for example Oracle, SQL Server, MySQL, Postgres, MariaDB) or managed cloud RDBMS services (such as Amazon Aurora) - Experience with NoSQL databases such as MongoDB, Cassandra, CouchDB, ElasticSearch, Neo4j, DynamoDB, BigTable, etc. - Experience building batch processing and real-time processing systems.
- Experience with 3+ of the following: - Building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub/Sub messaging, event buses, or Spark Streaming - Designing and implementing analytics and BI solutions such as MicroStrategy, Tibco, Qlikview, or Tableau- Building AI/ML solutions, including operations such as ongoing training, optimizations, and model deployments.
- End-to-end data solutions from ingestion pipelines, cataloging, analysis, and sharing insights (for example reports, dashboards, ML forecasts/predictions, etc. - Migrations and transformations of data services such as relational databases, NoSQL databases, and Data Warehouses (heterogeneous and homogeneous) - Designing, building, training, and optimizing AI/ML solutions
- Designing, implementing, training, and optimizing ML and AI models - Building solutions leveraging caching systems (for example Redis) and object stores (for example Amazon S3, Amazon Glacier, etc.) Consulting:
- Building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub/Sub messaging, event buses, or Spark Streaming - Designing and implementing analytics and BI solutions such as MicroStrategy, Tibco, Qlikview, or Tableau- Building AI/ML solutions, including operations such as ongoing training, optimizations, and model deployments. - Designing, implementing, training, and optimizing ML and AI models

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

At OpsGuru, we're a people-first, customer-obsessed company motivated by our passion for empowering organizations of all sizes to embrace the power of Cloud technology through impactful, reliable and scalable consultancy services.


Our team is made up of technical experts, creatives, salespeople, and many more. We work together to drive our mission forward and raise the bar for our customers daily, bringing their vision to life. We strive to be a workplace of inspired minds by fostering an environment that encourages innovative thinking, where everyone can grow and contribute to achieving their goals.


Our long-term vision is to continue being an innovative and inspiring company that our customers and employees admire, and we invite you to join us!


About the role:

OpsGuru's value to our customers centres around our ability to provide deep technical guidance based on their business needs. We achieve this by assigning small, virtual teams of highly skilled individuals to each client.


Within these teams, the Data Solutions Architect is responsible for providing technical expertise and leadership to Data Engineers, while also maintaining a systems view that is able to reconcile technical decisions with broader project goals.


Data Solutions Architects work alongside our Principal Consultants to ensure our project deliverables meet stakeholders' needs while upholding OpsGuru's quality and operational maturity standards.


What you'll be doing:


Project Delivery

  • Provide deep technical expertise and leadership across a range of cloud data technologies. You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements.
  • Lead the design and implementation of data platforms to meet customers' business requirements.
  • Lead whiteboard design sessions with internal and external team members.
  • Identify and communicate technical risks as they emerge over the course of a project.
  • Work closely with Principal Consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements, and break down those deliverables into a technical roadmap.
  • Lead teams of data engineers to execute project roadmaps. Provide guidance on technical tasks, priorities, and technical assistance when needed.
  • Manage scope within customer engagements. Identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes.
  • Maintain a close working relationship with the customer, as a "Trusted Advisor". Set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables.
  • Establishing credibility and building impactful relationships with our customers


Design and Delivery

  • Complex ETL/ELT processes, large-scale batch and real-time stream processing solutions, and optimizing data and schemas
  • Data Lakes using native cloud tools or leveraging 3rd party platforms (for example Snowflake or Databricks)
  • AI-based solutions for NLP, speech and video recognition, anomaly and fraud detection, chatbots, etc.
  • End-to-end data solutions from ingestion pipelines, cataloging, analysis, and sharing insights (for example reports, dashboards, ML forecasts/predictions, etc.
  • Migrations and transformations of data services such as relational databases, NoSQL databases, and Data Warehouses (heterogeneous and homogeneous)
  • Designing, building, training, and optimizing AI/ML solutions
  • Designing and integrating MLOps solutions to support model lifecycle automation


Other Technical:

  • Developing code using Python, Java, and Scala languages
  • Architect and operationalize solutions following best practices including data governance, privacy, lifecycle management, and cost optimization
  • Maintain relevant certifications on cloud and data technologies and stay informed of key industry trends
  • Leverage AI development tools (e.g., Cursor, Claude Code) to accelerate data architecture and pipeline delivery, applying architectural oversight to audit and refine AI-generated code for scalability, performance, and correctness.


Your skills & experience:

Technical:

  • 7+ years of experience in public cloud environments (AWS preferred).
  • 5+ years of developing code using Python, Java, or Scala languages
  • Experience building complex data engineering pipelines and ETL/ELT tasks
  • Experience with relational databases (for example Oracle, SQL Server, MySQL, Postgres, MariaDB) or managed cloud RDBMS services (such as Amazon Aurora)
  • Experience with NoSQL databases such as MongoDB, Cassandra, CouchDB, ElasticSearch, Neo4j, DynamoDB, BigTable, etc.
  • Experience building batch processing and real-time processing systems.
  • Experience building Data Warehouses and Data Lakes


  • Experience with 3+ of the following:

- Building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub/Sub messaging, event buses, or Spark Streaming

- Designing and implementing analytics and BI solutions such as MicroStrategy, Tibco, Qlikview, or Tableau- Building AI/ML solutions, including operations such as ongoing training, optimizations, and model deployments.

- Designing, implementing, training, and optimizing ML and AI models

- Building solutions leveraging caching systems (for example Redis) and object stores (for example Amazon S3, Amazon Glacier, etc.)


Consulting:

  • Proven ability to discuss and design solutions using concepts such as data lineage, data quality gates, data anonymization, data governance, data security, data replication, data caching, data lifecycle management, data catalogs, and networking
  • Understanding of requirements and impacts from compliance frameworks such as HIPAA, PCI, GDPR, PIPEDA, etc.
  • Strong communication and presentation skills, written and verbal
  • Experience writing technical documentation
  • Experience in technical mentoring
  • Experience working in a customer-facing delivery role in a consulting or professional services environment


What's in it for you:

Compensation & Perks

  • Competitive compensation package (CAD 170K-180K / year)
  • Retirement Savings Matching Program (RRSP)
  • Partnership with Perkopolis Discounts

Flexibility & Time Off

  • Remote first work environment
  • Flexible work hours & location
  • Paid parental leave options

Health & Wellness

  • Employer-paid health & dental premiums
  • GreenShield+ Counselling Mental Health
  • $500 in Health Care Spending Account annually

Growth & Development

  • Training reimbursement (e.g courses on Udemy, Coursera, a-cloud-guru etc.)
  • Peer recognition rewards


At OpsGuru, a Carbon60 Company, we encourage employees to bring their whole, authentic selves to work. By sharing and embracing unique backgrounds, experiences, and perspectives, we learn from each other, innovate, and create a dynamic environment where we can be and achieve our best.


We're dedicated to ensuring each member feels a sense of belonging, safety, and respect. At OpsGuru, your unique voice is heard and embraced, and you meaningfully contribute to decision-making and the organization's growth.

OpsGuru is committed to an equitable employee experience, opportunity, and support. If you require accommodations or support during the recruitment process, please email us at careers@opsguru.io.


We thank all applicants for their interest in this exciting opportunity. Only candidates that meet the qualifications will be contacted for an interview.

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Pay
Compensation & Perks Competitive compensation package (CAD 170K-180K / year) Retirement Savings Matching Program (RRSP)
More source context
GreenShield+ Counselling Mental Health $500 in Health Care Spending Account annually Growth & Development
Location & working pattern

Location not supplied.

Flexibility & Time Off - Remote first work environment - Flexible work hours & location
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