Senior Staff Data Engineer

Join SADA as a Senior Staff Data Engineer, Corporate!

Your Mission 

As a Senior Staff Data Engineer, Corporate at SADA, you will have the chance to drive corporate services by working with vast quantities of data and newly-emerging Google Cloud technologies. You'll have the chance to design, develop, and manage the best Enterprise Data Warehouse solution for our corporate needs. This will involve interaction with all our business units and Google Cloud specialists.

Working with ETL, metadata, business continuity, transforming business requirements, data modelling, and architecting solutions, our team will give you the chance to collaborate and work with engineers and architects in developing and debugging data infrastructures on the Google Cloud Platform (GCP). This will give you the chance to tackle the real-world data problems our clients face today. Your role may involve a wide range of consultative and hands-on approaches, from data migration, disaster recovery and data archival, to big data analytics solutions requiring batch or real-time data pipelines, data lakes, and warehouses.

You will be expected to lead whole projects and guide less experienced data engineers. You will become an expert resource within the team, gaining a reputation with Google and our customers. You will be recognized for consistently delivering project architectures and vital components other engineers defer to you for. Your role will also involve participating in early-stage opportunity qualification calls and guiding technical discussions with clients for established projects.

Pathway to Success 

#BeOneStepAhead: SADA is a company that thrives on change. We focus on cutting-edge technology that's always changing, embracing agility, encouraging change and being one step ahead. Our engineers understand that change is inevitable and embrace it to expand their skills, preparing to meet future client needs.

Your success depends on impacting the direction of a rapidly expanding practice positively, with vision and passion. Key indicators of your performance will include the breadth, depth, and quality of your contributions. Your ability to accurately estimate, customer feedback at project completion, how well you collaborate with your peers, and the polish you add to our interactions with clients.

We will develop a tailored development plan as you execute successfully, guiding you through the engineering or management growth tracks.

Expectations

You will be expected to interact with internal clients and stakeholders on a regular basis. Your task is to gather requirements and provide solutions suitable for corporate divisions.

Onboarding/Training - Your first weeks with us will be dedicated to learning, including learning materials/tasks, compliance training, and familiarization meetings with key team members. A specific timeline will be shared closer to your start date.

Job Requirements

Required Credentials:

• Google Professional Data Engineer Certified or ability to complete within the first 45 days of employment 

Required Qualifications: 

• Expertise in:
  • Data warehouse modernization, building data warehouse solutions on BigQuery, including technical architectures, star/snowflake schema designs, query optimization, ETL/ELT pipelines, and reporting/analytic tools. You must be highly experienced in Google's batch or real-time data processing solutions, such as BigQuery, Dataform, and BI Engine.
• Proficiency in:
  • Big Data, managing Hadoop clusters, troubleshooting cluster operation issues, migrating Hadoop workloads, designing solutions on Hadoop. You should be familiar with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming, and Apache Beam, and working with messaging systems like Pub/Sub, Kafka, and RabbitMQ.
  • Data Catalog, managing data catalogs, definitions, and data lineage.
  • Data Quality, with experience using DataForm or other DQ solutions.

• Data migration, migrating data stores to cloud-based stores that are reliable and scalable, including strategies to minimize downtime. This can involve converting from relational to NoSQL data stores, or vice versa.
• Backup, restore & disaster recovery, creating professional-grade data backup, restore, and disaster recovery solutions, that can handle scales up to petabytes.
• 4+ years of experience with Data modeling, SQL, ETL, Data Warehousing, and Data Lakes.

• 4+ years of experience in writing commercial-grade data solutions (both relational and NoSQL) in an enterprise-class RDBMS.
• 2+ years of experience with enterprise-class Business Intelligence tools like Looker, PowerBI, Tableau, and similar.
• Highly proficient in writing software in Python.
• Experience writing software in one or more languages, such as Javascript, Java, R, or Go.
• Experience with systems monitoring/alerting, capacity planning, and performance tuning.
• Hands-on experience building frontend applications with React.
• Hands-on experience with CI/CD solutions like Cloud Build or Terraform.

Useful Qualifications:

• Experience working with Google Cloud data products (e.g., CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, and more).
• Experience with IoT architecture and building real-time data streaming pipelines.
• Experience operationalizing machine learning models on large data sets.
• Proven leadership and self-direction, with a willingness to teach others and learn new techniques.
• Evidence of selecting appropriate statistical tools for data analysis tasks.
• Ability to balance and prioritize multiple conflicting requirements with a strong attention to detail.
• Excellent verbal/written communication and data presentation skills, able to succinctly summarize key findings and communicate effectively with both business and technical teams.

About SADA

Values: SADA is an inclusive, fair company that does the right thing. From our inception, we've been creating a diverse workplace where we support and learn from each other, amplifying our impact on our customers. We're proud of our diverse team of contributors, representing various backgrounds, experiences, abilities, and perspectives. We're an equal opportunity employer. Our five core values underpin everything we do:

1. Make Them Rave
2. Be Data Driven
3. Think One Step Ahead
4. Drive Purposeful Impact
5. Do The Right Thing

Work with the Best: For the past six years, SADA has been named a Google Global Partner of the Year. Since 2016, we've been the largest Google Cloud partner in North America. This year, we were named as the Global Partner of the year 2023 by Google Cloud. SADA has also repeatedly been awarded Best Place to Work by the Business Intelligence Group and Inc. Magazine. SADA was also recognized as a Niche Player in the 2023 Gartner® Magic Quadrant™ for Public Cloud IT Transformation Services.

Benefits: Unlimited PTO, paid parental leave, attractive and competitive pay, performance-based bonuses, paid holidays, generous medical, dental, vision insurance plans, life insurance, short and long-term disability insurance, a 401K/RRSP with a matching scheme, Google-certified training programs, and a professional development stipend.

Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for the past 10+ consecutive years, earning Honoree status. For the past five years, CRN has also placed SADA on the Top 500 Global Solutions Providers list. SADA's culture continues to evolve with engineering at its core: over 3200 projects completed, 4000+ customers served, 10K+ workloads, and more than 30M users migrated to the cloud.