Easy Apply
Easy Apply
Responsible for database administration, data engineering, and operations within the Data Lake and Enterprise Data Warehouse, designing ETL solutions and data pipelines, and supporting data operations.
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
This role will be responsible for all operational database administration duties, data engineering, and data operations within the Data Lake and Enterprise Data Warehouse (Snowflake) ecosystem including, but not limited, to the following:
- Take the lead on our daily database administration, ensuring our data environment stays healthy and reliable.
- Partner closely with our Staff EDW Architect to bring new visions to life, designing high-quality data artifacts that follow industry best practices.
- Turn business needs into smart, reusable ETL solutions that grow alongside our company.
- Design end-to-end pipelines using your expertise with data models and architecture diagrams to build automated ingestion and transformation pipelines that keep our data moving on schedule
- Analyze and produce artifacts such as Source-to-Target Mapping documents.
- Build pipelines that bring together data from everywhere—whether it’s RDBMS, APIs, JSON, or flat files—creating a seamless flow of information.
- Define the "Source of Truth" using tools like Python and ETL software to clean, integrate, and transform data into a single, reliable resource the whole company can trust.
- Provide day-to-day operational support for all the data pipelines by monitoring and investigating alerts, while troubleshooting and remediating production issues in a timely manner.
- Act as a player-coach for junior and intermediate data engineers and ETL developers as the EDO team grows.
- Deep experience performing ETL design and development via custom coding (SQL, Python, Spark, Java, etc.) as well as using ETL tools (e.g., Coalesce, Informatica, DataStage, Talend) and other tools such as Data Quality tools, Metadata Manager, etc.
- Extensive hands-on, professional, experience working with Snowflake as a Database Administrator (DBA) and clear understanding of Snowflake’s Access Control framework
- Comfortable with Cloud-hosted solutions, especially AWS with experience deploying Secrets Manager, KMS, S3, EC2, Linux, Cross-Account Access, etc in a scaled environment
- Innate curiosity to fundamentally understand and solve problems. You’re not satisfied until you can clearly explain how and why and error occurred, and you are driven to ensure it never happens again!
- Understanding of data warehousing architecture fundamentals (e.g., Kimball vs. Inmon, Medallion Architecture, 3NF data models, reference data models, dimensional models, conformed dimensions, SCDs, etc.).
- Experience in orchestrating data operations via tools such as Apache Airflow, Cron, Astronomer etc.
The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location.
This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
- The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
- Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Ontario Residents Only
$100,000—$125,000 CAD
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
About StackAdapt
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
Ad Age Best Places to Work 2024
G2 Top Software and Top Marketing and Advertising Product for 2024
Campaign’s Best Places to Work 2023 for the UK
2024 Best Workplaces for Women and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
To learn more about our privacy practices, please see our Privacy Policy.
#LI-REMOTE
Top Skills
Apache Airflow
AWS
Coalesce
Datastage
Ec2
Informatica
Java
Kms
Linux
Python
S3
Secrets Manager
Snowflake
Spark
SQL
Talend
Similar Jobs
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Data Scientist at Snap Inc. applies quantitative analysis, data mining, and statistical modeling to deliver actionable insights, driving informed decision-making and optimizing product performance.
Top Skills:
PythonRSQL
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Senior Data Scientist will develop actionable insights through quantitative analysis, collaborating with cross-functional teams to enhance product decisions and optimize performance using statistical modeling and machine learning techniques.
Top Skills:
PythonRSQL
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
This internship involves conducting market research, developing content, supporting advocacy programs, and collaborating with marketing teams to enhance customer experiences.
Top Skills:
HighspotSalesforce
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
